33 Computational Chemistry Jobs

Role Overview: You will be part of the Trainee GOglobal Data & AI Program at Merck Group, a 2-year program that offers diverse experiences in data & AI-driven projects. As a participant, you will have the opportunity to work in both Bangalore, India, and Darmstadt, Germany, gaining exposure to various industries, technologies, and applications. Your role will involve contributing to data science and engineering projects, collaborating with different teams, and driving the development of innovative products within the business. Key Responsibilities: - Learn about the Groups Data & AI Strategy, Data Culture, and Data Governance while supporting products and projects within the Merck Data & AI Organization. - Apply and strengthen your data & AI skills by contributing to projects in various sectors such as Manufacturing, Supply Chain, R&D, Marketing, and Sales. - Expand your global network by engaging with other data & AI enthusiasts across Merck. Qualifications Required: - Masters degree or PhD in Data Science, Computer Science, Mathematics, (Industrial) Engineering, Computational Chemistry, Physics, or a related field. - Mandatory programming experience with languages such as Python, R, Matlab, Java, or C++. - Prior experience with Palantir Foundry or AWS is beneficial. - Ideally, you have completed two data & AI related internships and have international experience. - Strong interest in AI, machine learning, data engineering, and analysis. - Excellent verbal and written communication skills in English. - Strong analytical skills, ability to think creatively, and a pragmatic approach to work. - Comfortable working with individuals from diverse backgrounds and cultures. - Ability to communicate results to both technical and non-technical audiences. - Strong interpersonal skills with a willingness to share knowledge and skills. Additional Details: Merck Group is committed to fostering a culture of inclusion and belonging, where individuals from diverse backgrounds can excel and innovate together. The company values curiosity and offers opportunities for personal and professional growth through mentorship, networking, and continuous learning. Join a team dedicated to sparking discovery and championing human progress by applying now for the Trainee GOglobal Data & AI Program.,

Job Title: Computational Chemist Function: Science & Technology Reports to: Research Scientist Scope: PC Location: Unilever R&D Bangalore About Unilever Established over 100 years ago, we are one of the worlds largest consumer goods companies. We are known for our great brands and our belief that doing business the right way drives superior performance. We believe that the winning businesses of tomorrow will be those which anticipate and respond to the huge changes shaping peoples lives across the world. We are more certain than ever that it is the right time to focus our sustainability efforts on the four key priorities where we are best placed to drive impact: climate , nature , plastics and livelihoods . Business Context And Main Purpose Of The Job Personal Care (PC) business is focused on being the best in class company for Personal care products with personalised desirable experiences and beauty solutions for whole-body wellness. The business is committed to address (a) Big Unmet consumer need/insight/idea (b) Right to WIN with superior proposition with product love & noticeable superiority (c). clean beauty product with reduce environmental footprint. The role of the Science and Technology (S&T-PC-Physical science) pillar within R&D is to deliver breakthrough Differentiated Technologies, with capabilities to meet PC goals around the world. S&T-PC-Physical science team is focused on building future fit skills team and talent in Advanced Materials, Measurements delivering long lasting freshness for whole body & personalisation Integrated with Digital. S&T-PC-Physical science team is employing advanced materials & measurements science for superior multi targeted consumer needs with perceivable efficacy and care across deodorant and skin cleansing category. The teams focus is to deliver faster and cost-effective Innovations through Advanced Material Pillar leveraging Computational chemistry. The purpose is to build differentiated innovation roadmap & impactful claims by (a) Developing and applying QSAR models to predict properties like ADMET, binding affinity, or material properties based on molecular descriptors. (b). Performing Density Functional Theory (DFT) and other QM methods to investigate molecular structure. To meet our purpose, we need candidate with expertise in materials design, development, and analytics using digital approach. Main Accountabilities Collaborate with scientists to conduct modelling and simulation projects, presenting results and insights to stakeholders. Adopt AI/ML and deep learning algorithms to develop and test hypotheses relevant to material science. Perform laboratory experiments to validate hypotheses and support simulation results. Streamline modelling workflows to facilitate the adoption of digital tools, enabling quicker insight generation and decision-making. Maintain and expand expertise in materials modelling and simulation by staying updated with the latest research and technological advancements. Enhance team&aposs capabilities in materials design, development, and analytics using digital approach. Support in managing external research programs and data-driven initiatives to advance material science research. Key Interfaces Senior Line manager S&T Programme team S&T Category Discover Leaders Patent attorney Key Skills B.Tech/M.Tech in Chemical Engineering or masters degree in chemistry / physics / Material Science Specialization in modelling, simulation and ML or minimum 3 years experience in modelling and simulation. Strong background in quantum mechanics, molecular modeling, and statistical analysis. Relevant Experience Experience in QSAR modeling, quantum mechanics & DFT. Ability to work multi-functional teams. Experience in experimental research preferably in materials science or a related field. Standard Of Leadership Purpose & Service Personal Mastery Agility Our commitment to Equality, Diversity & Inclusion Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. "All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulentplease verify before proceeding." Show more Show less

Join Aganitha and contribute to the discovery of medicines that will impact lives! Aganitha, at the forefront of co-innovation with global clients, is shaping next-generation R&D in diverse industries. As a Scientist at Aganitha, you will leverage cutting-edge advances in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. You will collaborate closely with research leaders at client organizations, drive solutions from concept to launch, and interact with external vendors for experimental validation. **Key Responsibilities** - Perform advanced computational simulations to understand stability and design principles relevant to various hard and soft matter systems - Apply computational methods to materials design for various applications such as semiconductor devices, greenhouse gases capture, and skin care formulations - Conduct molecular modeling studies to investigate self-assembly phenomena and interactions in material formulations - Interpret and structure scientific data for downstream AI/ML modeling of material properties - Develop clear narratives of data-driven analyses and effectively communicate complex domain knowledge to cross-functional teams - Stay up-to-date on emerging technologies and scientific advancements in computational chemistry and materials science **Educational & Research Qualifications** - PhD, post-doctoral research, or equivalent higher studies in Computational Chemistry or Computational Physics applied to Materials Science - Demonstrated research experience in materials science domain - Proficiency in advanced computational chemistry methods **Technical Skills** - Familiarity with computational chemistry packages such as Quantum Espresso, VASP, LAMMPS, GROMACS, or similar - Understanding of the interface of computer technology, high-throughput sciences, and chemistry/materials science **Added Advantages** - Familiarity with AI/ML methods in scientific research - Expertise in computer programming languages - Exposure to High-Performance Computing environments **Soft Skills** - Excellent verbal and written communication skills - Ability to distill complex scientific concepts for diverse audiences - Collaborative attitude within a cross-functional team environment - Strong interest in breaking down complex problems into manageable tasks,

Advent Informatics, distributor of Computational Drug Discovery and life sciences software solutions and services in India, is seeking talented and motivated individuals to join our team as an Application Scientist. In this role, you will be responsible for providing technical support and delivering product presentations to our pharma, biotech, and academic customers who are interested in our software offerings. Your key responsibilities will include conducting online and onsite presentations and demonstrations of our CADD/Molecular Modelling/Chemoinformatics/Scientific Data Management software suite. You will also offer technical and scientific support to both existing and potential clients, publish scientific papers, and engage in conferences and seminars. Additionally, you will facilitate client training to ensure they derive maximum value from the software, assist in installation and troubleshooting processes, and develop KNIME/Python Scripts workflows based on client requirements. Collaboration with academic users on joint projects and creating technical content in partnership with Marketing will also be part of your duties. The ideal candidate should possess a Masters or PhD in Computational Chemistry, Medicinal Chemistry, Pharmaceutical Chemistry, or a related field, along with expertise in molecular modeling software. Experience of 3-4 years in the industry or a track record of published papers in academia related to in-silico Drug Discovery is highly desirable. Proficiency in Python programming and KNIME is considered an advantage. Strong communication skills, both verbal and written, exceptional time-management abilities, and a willingness to travel within India and potentially abroad are essential. The ability to thrive in a fast-paced, goal-oriented environment and a passion for scientific publication are also key attributes we are seeking. Joining our team will offer you the opportunity to work in a small yet dynamic sales and marketing team within a supportive company culture. We provide a competitive salary, the chance to earn generous commissions based on targets, and medical insurance coverage for immediate family members. This is a full-time position based in Pune, with one opening available. If you meet the requirements and are excited about the prospect of contributing to our team, we encourage you to get in touch with us at the following contact details: Office #405, The Address Commercia Hinjawadi, Wakad Rd, Wakad Pune, Maharashtra 411057 Phone: +91 98330 50178 Email: info@adventinformatics.com,

Job Title: Computational Chemist Function: Science & Technology Reports to: Research Scientist Scope: PC Location: Unilever R&D Bangalore ABOUT UNILEVER: Established over 100 years ago, we are one of the world's largest consumer goods companies. We are known for our great brands and our belief that doing business the right way drives superior performance. We believe that the winning businesses of tomorrow will be those which anticipate and respond to the huge changes shaping people's lives across the world. We are more certain than ever that it is the right time to focus our sustainability efforts on the four key priorities where we are best placed to drive impact: climate , nature , plastics and livelihoods . Business Context and Main Purpose of the Job: Personal Care (PC) business is focused on being the best in class company for Personal care products with personalised desirable experiences and beauty solutions for whole-body wellness. The business is committed to address (a) Big Unmet consumer need/insight/idea (b) Right to WIN with superior proposition with product love & noticeable superiority (c). clean beauty product with reduce environmental footprint. The role of the Science and Technology (S&T-PC-Physical science) pillar within R&D is to deliver breakthrough Differentiated Technologies, with capabilities to meet PC goals around the world. S&T-PC-Physical science team is focused on building future fit skills team and talent in Advanced Materials, Measurements delivering long lasting freshness for whole body & personalisation Integrated with Digital. S&T-PC-Physical science team is employing advanced materials & measurements science for superior multi targeted consumer needs with perceivable efficacy and care across deodorant and skin cleansing category. The teams focus is to deliver faster and cost-effective Innovations through Advanced Material Pillar leveraging Computational chemistry. The purpose is to build differentiated innovation roadmap & impactful claims by (a) Developing and applying QSAR models to predict properties likeADMET,binding affinity, or material properties based on molecular descriptors. (b). PerformingDensity Functional Theory (DFT)and other QM methods to investigate molecular structure. To meet our purpose, we need candidate with expertise in materials design, development, and analytics using digital approach. Main Accountabilities: Collaborate with scientists to conduct modelling and simulation projects, presenting results and insights to stakeholders. Adopt AI/ML and deep learning algorithms to develop and test hypotheses relevant to material science. Perform laboratory experiments to validate hypotheses and support simulation results. Streamline modelling workflows to facilitate the adoption of digital tools, enabling quicker insight generation and decision-making. Maintain and expand expertise in materials modelling and simulation by staying updated with the latest research and technological advancements. Enhance team's capabilities in materials design, development, and analytics using digital approach. Support in managing external research programs and data-driven initiatives to advance material science research. Key Interfaces: Senior Line manager S&T Programme team S&T Category Discover Leaders Patent attorney Key Skills: B.Tech/M.Tech in Chemical Engineering or master's degree in chemistry / physics / Material Science Specialization in modelling, simulation and ML or minimum 3 years experience in modelling and simulation. Strong background in quantum mechanics, molecular modeling, and statistical analysis. Relevant Experience: Experience in QSAR modeling, quantum mechanics & DFT. Ability to work multi-functional teams. Experience in experimental research preferably in materials science or a related field. Standard of Leadership: Purpose & Service Personal Mastery Agility Our commitment to Equality, Diversity & Inclusion Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Working as part of a team in a research laboratory. Setting up laboratory equipment and conducting tests and experiments. Recording and analysing data. Presenting results to senior research staff. Researching and writing papers, reports and reviews.

As a Medicinal Chemistry leader at Alembic, you will be at the forefront of driving the next wave of therapeutic innovation. Your role will involve shaping the future of drug discovery from India and bridging into the U.S. biotech ecosystem. Based in Hyderabad Genome Valley, you will work full-time and report to the Head of Drug Discovery at Alembic. You will be tasked with spearheading small-molecule and peptide drug discovery efforts, shaping and executing innovative strategies that drive programs from target identification to nominating clinical candidates. Alembic is seeking a visionary and accomplished leader with a track record of advancing compounds from early discovery to IND-enabling studies. The ideal candidate will possess deep expertise in medicinal chemistry, hands-on problem-solving skills, and preferably experience in computational chemistry or AI-enabled design. Your key responsibilities will include leading medicinal chemistry strategies for designing, synthesizing, and optimizing novel drug candidates. You will execute SAR strategies to enhance potency, selectivity, and overall drug-like properties, driving hit-to-lead and lead optimization efforts across multiple discovery programs. Additionally, you will incorporate AI-driven drug design and computational modeling into the medicinal chemistry workflow and manage external collaborations with CROs and academic partners. Furthermore, you will partner closely with various teams such as biology, pharmacology, DMPK, and analytical chemistry to integrate data and advance candidates efficiently. Your role will also involve analyzing experimental results, generating hypotheses, and making data-driven decisions to guide programs. Building and mentoring a team of medicinal chemists to foster scientific innovation and professional growth will also be a part of your responsibilities. To qualify for this role, you should hold a PhD in Organic or Medicinal Chemistry (or a related discipline) with over 10 years of industry experience in drug discovery. Demonstrated leadership in advancing small molecules or peptides into the clinic, deep expertise in synthetic chemistry, drug design, and SAR optimization are essential. Exposure to AI-based drug discovery, computational chemistry, or fragment-based design will be advantageous. Strong communication, leadership, and decision-making skills are also required. By joining Alembic, you will lead cutting-edge medicinal chemistry initiatives, collaborate with world-class scientists in an innovation-driven culture, play a central role in shaping Alembic's emerging therapeutic pipeline, and contribute to an organization committed to scientific rigor, global impact, and patient health. Alembic embraces diversity and is dedicated to building an inclusive team.,

You are a Technical Writer joining a team at Schrdinger, focused on enhancing human health and quality of life through advanced computational methods. Schrdinger is a leader in computer-aided drug discovery and materials science, constantly innovating software suites such as Maestro, FEP+, WaterMap, Glide, and LiveDesign. As part of the Documentation team within the Education department, you will engage with scientists globally, helping them leverage computational drug discovery in various research fields. Your role involves applying design thinking to enhance accessibility and user experience of Schrdinger software documentation, collaborating with different teams to ensure researchers can easily find the information they need. Ideal candidates for this role are technical writers with a scientific background or computational chemists possessing strong communication, writing, and editing skills. You should be detail-oriented, organized, and capable of meeting deadlines consistently. Moreover, creativity, collaborative spirit, and the ability to work across diverse teams are essential traits for success in this position. Your responsibilities include collaborating with various departments to create documentation in computational chemistry, crafting and designing content for diverse audiences, managing intricate documentation projects involving multiple stakeholders, and contributing to educational content development in a team-centric environment. You will also develop expertise in Schrdinger's suite of software tools for small-molecule, biologics, and materials science applications. To qualify for this role, you should hold a Bachelor's degree or higher in a relevant scientific field or possess equivalent industry experience. A scientific background coupled with technical writing experience or a technical writing background with knowledge in chemistry, biochemistry, biophysics, physics, or related disciplines is preferred. An interest in small-molecule drug discovery, familiarity with molecular modeling software tools, and a proven track record of strong writing skills are also necessary, with writing samples expected during the application process. Additionally, candidates with an MS in Technical Writing or a relevant scientific discipline, prior experience with Schrdinger applications or molecular modeling software, proficiency in tools like Flare, Confluence, Jira, and skills in Python, HTML, or CSS would be preferred for this role.,

Join Amgens Mission of Serving Patients At Amgen, if you feel like youre part of something bigger, its because you are Our shared mission?to serve patients living with serious illnesses?drives all that we do, Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Diseasewe reach millions of patients each year As a member of the Amgen team, youll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives, Our award-winning culture is collaborative, innovative, and science based If you have a passion for challenges and the opportunities that lay within them, youll thrive as part of the Amgen team Join us and transform the lives of patients while transforming your career, Associate Scientific Business Analyst Biological Studies (LIMS) What You Will Do Lets do this Lets change the world In this vital role you will be working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems, Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Handle a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and breakthroughs Identify and handle risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance, Collaborate with geographically dispersed teams, including those in the US and other international locations, Develop a culture of collaboration, innovation, and continuous improvement, What We Expect Of You We are all different, yet we all use our unique contributions to serve patients You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community, Basic Qualifications: Bachelors degree and 2 to 6 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS, LabVantage, etc Preferred Qualifications: 1+ years of experience in implementing and supporting LIMS platforms Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data ( e-g , FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud ( e-g AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being From our competitive benefits to our collaborative culture, well support your journey every step of the way, In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards, Apply now and make a lasting impact with the Amgen team, careers amgen As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients Together, we compete in the fight against serious disease, Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law, We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment Please contact us to request accommodation, Show

About Us: InSilicoMinds is a leader in the application of computational modeling and simulation (CM&S) for pharmaceutical research and development. We focus on harnessing cutting-edge in silico technologies to streamline drug design, formulation development, and regulatory submissions. Our innovative approaches help to accelerate drug discovery while optimizing formulations and ensuring high-quality manufacturing processes. Position Overview: We are looking for a highly skilled and motivated Computational Chemistry Expert with hands-on experience in retrosynthesis and reaction simulation. The ideal candidate will have deep expertise in computational chemistry tools and software, with a focus on optimizing reaction pathways to achieve high yields, minimal impurities, and selective production of specific isomers and polymorphs. Key Responsibilities: Lead retrosynthesis projects aimed at developing efficient synthetic routes for pharmaceutical compounds. Simulate reaction pathways and optimize reaction conditions, including solvent selection, temperature, and reagent concentrations, to maximize desired product yield. Address challenges related to regioselectivity, stereoselectivity, and polymorphism, ensuring the selective formation of specific isomers and crystalline forms. Collaborate with cross-functional teams, including synthetic chemists and formulators, to translate computational insights into experimental protocols. Utilize advanced computational chemistry tools and software to predict reaction outcomes, impurity formation, and scalability of processes. Continuously explore new computational methodologies and contribute to the development of in silico tools and workflows within the organization. Present and defend findings and strategies in project meetings, contributing to decision-making processes. Qualifications: Ph.D./ masters in computational chemistry, Organic Chemistry, or a related field, with strong knowledge of retrosynthesis and reaction mechanism modeling. Proven experience in simulating chemical reactions and optimizing reaction parameters to improve yield, reduce impurities, and control isomer or polymorph formation. Proficiency in computational chemistry software, such as Gaussian, Schrdinger, ORCA, or similar tools. Familiarity with molecular modeling techniques, including quantum chemistry, molecular dynamics, and thermodynamic simulations. Strong analytical skills and problem-solving abilities with attention to detail. Excellent communication skills and ability to work in a collaborative, interdisciplinary team environment. Preferred Experience: Experience with cheminformatics tools and databases for reaction prediction. Knowledge of AI or machine learning applications in retrosynthesis or reaction optimization. Experience in the pharmaceutical or chemical industry, especially in synthetic route design or process optimization.,

INR 15,000 for the internship duration (typically 3 6 months). You ll gain real exposure to how deep tech, chemistry, and sustainability intersect in a fast-moving, impact-driven startup. You ll work closely with Without s founder and advisors, with mentorship, autonomy, and the potential to convert into a longer-term role. There is also potential to contribute to original research and help build intellectual property: your work won t just sit in a folder, it could help shape the future of sustainable materials. This internship isn t for someone looking to tick a box. It s for someone looking to help build something that matters. Our work has been featured on

This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps , use cases , and test plans for the software development teams. This enabl es the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre- clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem , and provide technical support, training, and infrastructure management , and ensure it meets the needs of our Amgen R esearch community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework ( SAFe ) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. Basic Qualifications and Experience: Master s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Bachelor s degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/ Bioinformatics or related field , OR Preferred Qualifications: 3 + years of experience in implementing and supporting LIMS platforms . Functional Skills: Must-Have Skills : Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data E xperience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS , LabVantage, etc. Good-to-Have Skills: Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation , and k nowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud ( e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile process es and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certification s: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation . .

Let s do this. Let s change the world. In this vital role you will require expertise in biopharma scientific domains as well as compute systems solution delivery. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Provide domain expertise for Research Advanced Scientific Computing within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between Global Technology functional areas and Global Research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for progress tracking and performance measurements (e.g. PowerBI, Tableau, Spotfire) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific compute systems operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The ideal candidate will have a strong background in the end-to-end infrastructure DevOps lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree with 8 to 13 years of experience in Information Systems Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific computing environments or systems Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with scientific compute applications like cheminformatics, bioinformatics, structural biology and molecular modelling tools including Schrodinger, Cryosparc, GROMACS Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Familiarity with documentations, specifications, pricing estimates for cloud (e.g. AWS) and on-premise compute infrastructure including compute (e.g. EC2) and storage (e.g. S3) components Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative, self-motivation and learning agility Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Prolim is seeking an Application Engineer, Advanced, in the field of computational chemistry and multiscale modeling. You are an enthusiastic team player with a computational background in biology, chemistry, or physics. As part of Simcenter CULGIs dynamic and multidisciplinary team, you will support the customer to achieve their objectives. You will be responsible for the day-to-day execution of individual projects, executing simulation tasks ensuring quality results, reporting on their progress, and delivering successful and valuable solutions to the customer. You will interact with the customer to support the management of their expectations. Responsibilities Interfaces with customers during the execution of the projects Provides information to the development team to improve our software solutions Writes/updates scripts to support and enhance the creation of simulation tasks Proactively communicates the status on all projects Apply appropriate tools to analyze, identify, and resolve technical problems Required Knowledge/Skills, Education, and Experience A B.Tech Biotechnology/Chemistry , MSc Biotechnology /Chemistry / Ph.D. degree in computational science in either biology or chemistry Ability to work on multiple projects simultaneously Ability to communicate complex technical concepts clearly and effectively Problem-solving and reasoning skills Excellent written, verbal, and interpersonal communication skills Preferred Knowledge/Skills, Education, and Experience Previous role as RD engineer is a plus Commercial or professional industrial experience is a plus. Having experience in multiscale modeling and/or computational chemistry is a plus

Career Category Information Systems Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we'do. Since 1980, we've helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we'reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we'research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist IS Business Systems Analyst - Advanced Scientific Computing What you will do Let s do this. Let s change the world. In this vital role you will require expertise in biopharma scientific domains as we'll as compute systems solution delivery. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Provide domain expertise for Research Advanced Scientific Computing within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between Global Technology functional areas and Global Research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for progress tracking and performance measurements (e. g. PowerBI, Tableau, Spotfire) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific compute systems operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The ideal candidate will have a strong background in the end-to-end infrastructure DevOps lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree with 8 to 13 years of experience in Information Systems Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific computing environments or systems Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with scientific compute applications like cheminformatics, bioinformatics, structural biology and molecular modelling tools including Schrodinger, Cryosparc, GROMACS Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Familiarity with documentations, specifications, pricing estimates for cloud (e. g. AWS) and on-premise compute infrastructure including compute (e. g. EC2) and storage (e. g. S3) components Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e. g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative, self-motivation and learning agility Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and we'll-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

aganitha cognitive solutions is looking for Scientist (Computational Chemistry / Materials & Molecular Modeling) to join our dynamic team and embark on a rewarding career journey Conduct innovative research and experiments to develop new knowledge, products, or technologies within a specialized scientific field Design, plan, and execute scientific studies while ensuring compliance with safety and ethical standards Collect, analyze, and interpret data using advanced tools and methodologies to draw valid conclusions Prepare detailed technical reports, research papers, and documentation for internal use and external publication Collaborate with cross-functional teams, including engineers, analysts, and other scientists, to achieve project goals

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in computational chemistry to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve applying advanced computational methods to design, optimize, and analyze small molecules and their interactions with biological targets, contributing to drug discovery and disease modeling efforts. The successful candidate will have a PhD in computational chemistry, cheminformatics, physical chemistry, or a related field, with a deep understanding of molecular modeling, simulations, and structure-activity relationships. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in computational chemistry to support drug discovery projects, including virtual screening, lead optimization, and ADME/Tox predictions. Utilize molecular modeling, molecular dynamics simulations, quantum mechanics, and docking techniques to understand ligand-protein interactions and predict binding affinities. Integrate chemical data with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify novel therapeutic opportunities and understand disease mechanisms. Work with a team of computational biologists and software experts to develop and apply AI/ML approaches for chemical property prediction and drug design. Stay up to date with the latest advancements in computational chemistry, cheminformatics, and AI-driven drug discovery to incorporate cutting-edge research into project efforts. Collaboration & Project Management: Work closely with cross-functional teams, including medicinal chemists, biologists, computational scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational chemistry, cheminformatics, physical chemistry, or a closely related field. Strong expertise in molecular modeling, molecular dynamics simulations, quantum mechanics, and virtual screening techniques. Solid understanding of drug discovery principles, medicinal chemistry concepts, and structure-activity relationships. Proficiency with relevant computational chemistry software (e.g., Schr dinger, OpenEye, GROMACS, Amber) and programming languages (e.g., Python, R). Excellent verbal and written communication skills, with the ability to convey complex chemical and computational concepts clearly. Preferred: Experience with large-scale chemical data analysis and cheminformatics tools. Experience applying machine learning or artificial intelligence to chemical problems. Previous experience working in a multidisciplinary research environment, especially in a biopharmaceutical setting. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational chemistry in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational chemistry and AI-driven drug discovery. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

What you will do In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality work from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 4 to 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree and 6 to 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Must-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc. Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business collaborators Knowledge of business analysis standard methodologies, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

Career Category Information Systems Job Description Role Description: The role is responsible for designing, developing, and maintaining software solutions for Research scientists . Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable the capture, analysis, storage, and report ing for our Large Molecule Discovery Research team (Design, Make, Test and Analyze processes) . The team also interfaces heavily with teams supporting our in vi tro assay management systems and our compound inventory platforms . The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing ). Roles Responsibilities: Work closely with product team, business team including scientists, and other stakeholders Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Conduct code reviews to ensure code quality and adherence to best practices Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently Stay updated with the latest technology and security trends and advancements Basic Qualifications and Experience: Master s degree with 1 - 3 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Bachelor s degree with 4 - 6 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Diploma with 7 - 9 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field Preferred Qualifications and Experience: 1 + years of experience in implementing and supporting biopharma scientific software platforms Functional Skills: Must-Have Skills : Proficient in Java or Python Proficient in at least one JavaScript UI Framework ( e. g. ExtJS , React, or Angular) Proficient in SQL ( e. g. Oracle, PostgreSQL , Databricks) Good-to-Have Skills: Experience with event-based architecture and serverless AWS services such as EventBridge , SQS, Lambda or ECS. Experience with Benchling Hands - on experience with Full Stack software development Strong understanding of software development methodologies, mainly Agile and Scrum Working experience with DevOps practices and CI/CD pipelines Experience of infrastructure as code ( IaC ) tools (Terraform, CloudFormation) Experience with monitoring and logging tools (e. g. , Prometheus, Grafana, Splunk) Experience with automated testing tools and frameworks Experience with big data technologies (e. g. , Spark, Databricks, Kafka) Experience with leveraging the use of AI-assistants ( e. g. GitHub Copilot) to accelerate software development and improve code quality Professional Certifications (please mention if the certification is preferred or mandatory for the role): AWS Certified Cloud Practitioner preferred Soft Skills: Excellent problem solving, analytical , and troubleshooting skills Strong communication and interpersonal skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to learn quickly work independently Team-oriented, with a focus on achieving team goals Ability to manage multiple priorities successfully Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation . .

Scientific Business Analyst (Sr Associate) – Small Molecule Discovery What you will do Let’s do this. Let’s change the world. In this vital role you will be working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role demonstrates scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Run a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Support the technology ecosystem for small molecule discovery and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and landmarks Identify and handle risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Cultivate a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable small molecule design, synthesis, testing, and analytics. You will implement and run chemistry-focused software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Basic Qualifications & Skills: Master’s degree with 1 - 3 years of experience in Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field, OR Bachelor’s degree with 3- 5 years of experience in Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field, OR Diploma with 7 - 9 years of experience in Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field or related field Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for solving complex challenges in drug discovery with technology and data Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with chemistry-focused software platforms (e.g., Revvity Signals Notebook, ACD/Labs, ChemAxon, Schrdinger LiveDesign/PyMOL/Maestro, BIOVIA Pipeline Pilot), compound registration systems, and AI tools for drug design. Preferred Qualifications & Skills: 3+ years of experience in implementing and supporting chemistry-focused software platforms in a biopharma setting. Experience with Agile software development methodologies (Scrum) Hands-on experience building BIOVIA Pipeline Pilot protocols Ability to communicate technical or complex subject matters in business terms Knowledge of business analysis standard methodologies, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with cloud (e.g. AWS) and on-premise infrastructure Experience in establishing business partnerships and IS governance practices Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, remote teams High degree of initiative and self-motivation Ability to handle multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

JOB TITLE: Research Executive JOB FUNCTION: Science & Technology REPORTS TO: Sr. Research Scientist SCOPE: Beauty and Wellbeing WORK LOCATION: Unilever R&D Bangalore With 3. 4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people - we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don t believe in the one size fits all approach and instead we will equip you with the tools you need to shape your own future. BUSINESS CONTEXT AND MAIN PURPOSE OF THE JOB Beauty and Wellbeing (BW) is focused on Unmissable Brand Superiority and Making Market with Multi-Year Innovation Platforms and Excellence with Incremental turnover. Science & Technology (S&T) team is focused on big bets platforms such as MultiOmics, Biotechnology, Advanced Materials, using Digital to excel with savings and growth. The role of the Science and Technology (S&T-Physical and Chemical Science-PCS) is to deliver breakthrough Differentiated & Superior Technologies to meet above B&W goals, in key markets and with power brands. S&T-PCS team is employing Advance materials, Substrate Science and Digital to deliver Beautiful, Noticeable, Appearance Benefits to Skin & Hair. Teams focus is to deliver faster and cost-effective Innovations through Advanced Material Pillar using Computational chemistry . The purpose is to build multiyear innovation roadmap & impactful claims by combining insights driven by (a) Substrate - Material - Product dynamics (b) Computational chemistry. To meet our purpose, we need candidate with expertise in Materials Chemistry. The candidate should be able to demonstrate the ability to learning new digital capabilities, work on their own initiative and a desire to develop scientific skills. MAIN ACCOUNTABILITIES Develop In vitro capabilities & Technology pipeline to deliver consumer benefit through Sustainable materials & surface science insights Drive Design of Experiments to strengthen expertise area through proof of science. Build, learn and apply skills in modelling, cheminformatics skill to led technology funnel. Build IP funnel for differentiated & exclusive consumer benefits Delivers effective reporting of scientific data, including peer-reviewed publications Communicate and work closely with global team to incorporate new technologies into product Apply Growth Mind set through speed & teamwork KEY INTERFACES S&T Scientists (cross functional expertise) Design platform leaders Patent attorney Academic, Institutional & external partners KEY SKILLS Strong hand-on experience in Materials Chemistry Experience in polymers or colloids chemistry Scientific writing and Literature analysis. Track record of working in collaborations. RELEVANT EXPERIENCE M. Sc. in Chemistry (organic, Inorganic, polymer) Experience in Digital & Modelling Our commitment to Equality, Diversity & Inclusion Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Supervising junior staff, including laboratory technicians. Keeping up to date with relevant scientific and technical developments. Setting up laboratory equipment and conducting tests and experiments. Recording and analysing data.

Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps , use cases , and test plans for the software development teams. This enabl es the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre- clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem , and provide technical support, training, and infrastructure management , and ensure it meets the needs of our Amgen R esearch community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework ( SAFe ) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. Basic Qualifications and Experience: Master s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Bachelor s degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/ Bioinformatics or related field , OR Preferred Qualifications: 3 + years of experience in implementing and supporting LIMS platforms . Functional Skills: Must-Have Skills : Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data E xperience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS , LabVantage, etc. Good-to-Have Skills: Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation , and k nowledge of regulatory requirements affecting laboratory data (e. g. , FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud ( e. g. AWS) and on-premise infrastructure In-depth knowledge of Agile process es and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certification s: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation . .

JOB DESCRIPTION Jubilant Bhartia Group . About Jubilant Biosys Jubilant Biosys Ltd is a part of the Jubilant Pharmova family of companies with R&D centres in India and business offices in Asia and North America. With our global reach, Jubilant Biosys provides comprehensive drug discovery services and contract research services from target discovery to candidate selection and with flexible business models (FFS, FTE and risk shared) in partnership with leading worldwide healthcare companies. With a clear scientific focus in oncology, metabolic disorders, central nervous system (CNS) diseases, pain and inflammation, Jubilant Biosys has rapidly emerged as a leading collaborator for pharmaceutical and biotechnology companies worldwide. In each of these therapeutic areas, Jubilant Biosys has developed a deep level of expertise in discovery informatics, computational chemistry , medicinal chemistry, structural biology , biology, in-vivo , in-vitro models and translational sciences. Combined with strong clinical development and manufacturing capabilities from other Jubilant subsidiaries, Jubilant Biosys has risen as a fully integrated contract research organization in India and headquartered at Bengaluru with end-to-end solutions. Our ability to be the preferred collaborator in the drug discovery domain is sustained by our commitment to comply with and continually improve our quality systems and to provide the following services: Contract Research Preclinical CRO Drug Discovery Virtual Screening Protein Crystallization Toxicology & In-vitro ADME Medicinal Chemistry Synthetic & Developmental Chemistry Pharmacology Jubilant Biosys collaborates with the world s leading pharmaceutical, biotech companies, academic institutions and research foundations. Find out more about us at www.jubilantbiosys.com The Position Organization : - Jubilant Biosys Designation & Level: - Research Associate -1/ Research Associate -2 (S1/S2) Location : - Greater Noida Department: - Synthesis Reporting Manager: - Group Leader Key Responsibilities Synthesis, purification and characterization of novel chemical compounds. Deliver small to large quantities of by novel chemical entities for drug discovery. Work collaboratively in a team to drive chemistry projects forward. Responsible for safe conduct of reactions. Excellent knowledge in basic and advance organic chemistry. Good knowledge in functional group conversion and multiple step synthesis. Basic knowledge retrosynthetic analysis (desirable). Good expertise in handling pyrophoric reactions. Good knowledge of TLC, column purification, extraction. Excellence in analyzing NMR, IR and Mass Spectrometry data. Always adhere to safe laboratory practices. Enthusiasm to work in a dynamic research environment. Always stretch when project challenge increases. Good knowledge in computer (MS-word/Excel/Power point) and structure drawing (Chem Draw/ISIS) and recording in electronic lab notebook. Good communication and presentation skill. Good in literature search using Reaxys. Person Profile Qualification: - M.Sc in Organic Chemistry or related field/ M. Pharma. Experience:- (below are Sample points) 1-6 years of industry experiences with any leading CRO organization. Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances.

Synthesis, purification and characterization of novel chemical compounds. Deliver small to large quantities of by novel chemical entities for drug discovery. Work collaboratively in a team to drive chemistry projects forward. Responsible for safe conduct of reactions. Excellent knowledge in basic and advance organic chemistry. Good knowledge in functional group conversion and multiple step synthesis. Basic knowledge retrosynthetic analysis (desirable). Good expertise in handling pyrophoric reactions. Good knowledge of TLC, column purification, extraction. Excellence in analyzing NMR, IR and Mass Spectrometry data. Always adhere to safe laboratory practices. Enthusiasm to work in a dynamic research environment. Always stretch when project challenge increases. Good knowledge in computer (MS-word/Excel/Power point) and structure drawing (Chem Draw/ISIS) and recording in electronic lab notebook. Good communication and presentation skill. Good in literature search using Reaxys. Person Profile Qualification: - M.Sc in Organic Chemistry or related field/ M. Pharma. Experience:- 1-5 years of industry experiences with any leading CRO organization. Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances.