49 Computational Biology Jobs - Page 2

Job Title: Bioinformatician Job Location: Bangalore Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications: Masters degree in bioinformatics. Technical Skills Mandatory: Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred: Machine learning: Familiarity with AI/ML concepts Behavioral Skills: Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values: All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism

Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus - Amrita Vishwa Vidyapeetham Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Associate Professor (Artificial Intelligence in Biosciences) For Details Contact : hr-asbt@am. amrita. edu Associate Professor (Artificial Intelligence in Biosciences) Ph. D. in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, or a related discipline. A strong publication record in top-tier journals or conferences in areas bridging AI and biosciences. Experience in interdisciplinary collaboration and project leadership. Job Description Conduct independent and collaborative research in AI applications to biosciences, such as genomics, systems biology, drug discovery, personalized medicine, or bioinformatics. Secure external research funding through grants and industry partnerships. Teach undergraduate and graduate courses in AI, machine learning, computational biology, or related subjects. Supervise Ph. D. and Master s students, and mentor junior faculty and researchers. Publish high-quality research in peer-reviewed journals and present at national/international conferences. Contribute to curriculum development and interdisciplinary academic programs. Collaborate with faculty across departments including computer science, data science, biotechnology, and medicine. Engage in departmental, university, professional, and service-related activities. Last Date to Apply June 30, 2025 Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx PDF format only Extra curricular activities To confirm your request , please check the box to let us know you are human

JOB DESCRIPTION Designation: LEAD Job Location: Bangalore Department: TRANSLATIONAL MEDICINE - INFORMATICS & PREDECTIVE SCIENCES (IPS) About Syngene Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation. Job Purpose Provide strategic and technical leadership to build and manage a world-class bioinformatics team. They will work closely with key stakeholders across Translational Medicine teams to identify the highest priority scientific questions and devise experiments and strategies to address them. Key Responsibilities: Strategic and technical leadership of a world class innovative computational research org. Line management of 2+ PhD scientists Ability to work across multiple diseases areas including Immunology, Oncology, Hematology and/or Neuroscience Identify and implement state-of-the-art computational methods for data exploration, visualization, analysis, and integration of multi-omic, high-dimensional Develop and implement computational pipelines to analyze NGS data (WES, WGS, MRD, ctDNA, Methylation) in collaboration with the BMS computational genomics team Evaluate the performance of existing or new NGS assays (sensitivity, accuracy, concordance) Interpret quality control data metrics from NGS assays and communicate effectively with the team and the respective stakeholders Collaborate closely with others on the BMS Informatics & Predictive Sciences and translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data Clearly communicate computational research and findings to other computational scientists, experimentalists, and clinicians across BMS Research sites. Partner with key stakeholders across the company to set and implement bioinformatics strategy Recruit and develop talent Set priorities, balance team workload Communicate effectively to build support for work and align with organization Experience: 10-15 Years Educational Qualification: Ph.D. Technical Skills: Hands-on experience with relevant public domain data sets including 1KG, Exac, GnomAD, and TCGA. Fluency with cloud and Linux based high performance compute environments, R/Bioconductor and reproducible research practices. Expertise in algorithmic implementation, statistical programming, and data manipulation, using e.g., R or Python, and contemporary, open-source bioinformatics tools and database structures Solid grounding in statistical theory and familiarity with recent developments in statistics Skilled at working with large omics data sets (transcriptomic, genomic, proteomic, and/or epigenomic data) Understanding of cancer genomics and epi-genomics is required Proficient with high-performance computing environments like cloud computing (AWS) Working knowledge of workflow languages for example: CWL or Nextflow Working knowledge of web frameworks like R Shiny or Django Partner with key stakeholders across the company to set and implement bioinformatics strategy Recruit and develop talent Behavioral Skills: Strong problem-solving and collaboration skills, and rigorous and creative thinking Excellent written and oral communication skills, including an ability to discuss and explain complex ideas with computational scientists, experimentalists, and clinicians The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization. Collaborating to solve challenging problems at the intersection of modern statistics and medicine to help bring new medicines to patients Communicate effectively to build support for work and align with organization Equal Opportunity Employer: It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.

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 . .

Job Summary We are seeking a Technical Lead with 6 to 9 years of experience to join our dynamic team. The ideal candidate will possess expertise in Service Desk and UAM with a strong background in computational biology cheminformatics or bioinformatics. This hybrid role offers the opportunity to work in a collaborative environment driving innovation and efficiency in day-to-day operations. Responsibilities Lead the service desk team to ensure efficient and effective resolution of user issues and requests. Oversee the implementation and management of user access management (UAM) protocols to maintain security and compliance. Provide technical guidance and support to team members fostering a culture of continuous learning and improvement. Collaborate with cross-functional teams to integrate computational biology cheminformatics and bioinformatics solutions into existing systems. Develop and maintain documentation for service desk processes and procedures to ensure consistency and clarity. Monitor and analyze service desk performance metrics to identify areas for improvement and implement corrective actions. Ensure timely and accurate communication with stakeholders regarding service desk activities and outcomes. Drive the adoption of best practices in service desk operations to enhance user satisfaction and operational efficiency. Support the development and implementation of training programs for service desk staff to enhance their technical skills and knowledge. Facilitate the resolution of complex technical issues by coordinating with relevant teams and leveraging domain expertise. Contribute to the strategic planning and execution of IT initiatives that align with organizational goals and objectives. Ensure compliance with industry standards and regulations in all service desk activities. Utilize domain expertise in computational biology cheminformatics or bioinformatics to drive innovation and enhance service offerings. Qualifications Possess a strong background in service desk operations and user access management. Demonstrate expertise in computational biology cheminformatics or bioinformatics. Exhibit excellent problem-solving and analytical skills. Show proficiency in managing and leading technical teams. Display strong communication and interpersonal skills. Have a proven track record of implementing process improvements. Be adept at working in a hybrid work model.

Role Responsibilities Processing contracts and payments Entering contracts analyzing contract clauses in the system and thereafter processing payments based on both contractual terms and the payment request raised Auditing processed contracts and payments Reviewing and examining contracts and payments already entered in the system and helping the team implement various Quality Control Mechanism for ensuring timely and accurate payments Maintaining database for Business Partners Creating and maintaining Business Partner records in the database at header level (including Name, Address, Email ID etc) after carefully looking for potential duplicates Report on team performance data and present them before the management team Working cautiously on team performance data every month, prepare a detailed report of it and present the same before the team and management Data allocation Regular allocation of tasks based on data extracted from various resources in rotation every month to ensure efficiency in the process Preparing multiple reports on daily basis Preparation of small reports for working on such contracts and payments where any modification is required Communication with different internal teams and external contacts This includes the responsibility for following up on missing information, resolving queries internally, and answering questions from internal and external teams Additional activities (non-related to typical production) Activities other than Contract and payments processing, like Knowledge Sharing sessions, Communication Development sessions etc also forms an integral part of the system Ad-hoc responsibilities There could be several other tasks than the aforementioned responsibilities that come from time to time, like working on modifying migrated contracts, ad-hoc payment requests, working on other special cases during royalty runs every year, and is inevitable for the smooth running of the system Support for queries raised by different teams Answering queries raised by Business Partners, internal and external teams to locate payments, contracts, Royalty statement, 10CCD Tax Form (which includes filling up such forms along with queries or requests), clarification on the daily tasks that is performed etc, are pertinent to the process Experience, Skills & Qualifications Law Graduates with 3 to 5 years experience in Royalty Contract Process Ability of understanding and interpreting contractual terms and conditions. Excellent communication and interpersonal skills and be fluent in English (written and spoken). The position is offered on a full-time basis and will be located in Pune, India on a hybrid working pattern. The applicant must be able to demonstrate the right to live and work in India. Eligibility In accordance with our internal career movement guidance, 12 months in current role is a requirement before applying to a new role.

Experience in handling genomic data (microarray/NGS) Writing custom scripts for analysis of genomic data derived from high-throughput techniques. Designs and implements bioinformatics tools and processes in order to analyse large scale datasets. Develop projects and work independently on a variety of bioinformatics analysis projects. Works in collaboration with wet-bench biologists as well as work independently to analyse data derived from several types of projects including genetic disorders and infectious diseases having data from microarrays. Sanger sequencing and high throughput Next-Generation Sequencing. Good organization and communication skills, with demonstrated ability to productively working as a member of a team. 2-3 years relevant experience required, preferably in NGS Working experience with genetics or statistics analysis software and online resources. Department: Molecular Genomic Research & Diagnostics Essential Qualification: Ph. D/ M.Sc in Bioinformatics Essential Experience: Minimum of 2/3 years work experience in handling genomic data (microarray/NGS)

Immunology innate immune mechanisms in disease pathogenesis Metabolomics, particularly in the context of aging and metabolic disorders Organoid-Based Cell and Developmental Biology Genomics Informatics Lipid Trafficking Department hosts state-of-the-art research facilities in genomics, mass spectrometry, drug screening, flow cytometry, Drosophila biology, protein expression and characterization, in vivo & in vitro biosafety laboratories and an advanced imaging facility. Additionally, they are home to two major research centers: the Center for Integrative and Translational Research, which support preclinical models of health and disease and the Center of Excellence in Epigenetics. These are further strengthened by university-wide initiatives such as the SNU-Dassault Systems Center that facilitates computational biology studies. Selected candidates will be expected to establish and maintain an independent, externally funded research program, actively engage in undergraduate and graduate teaching, and contribute to the development of interdisciplinary courses and initiatives in collaboration with other departments across the university. Qualification Faculty appointments are open at all levels from Assistant to Full Professor based on the candidate s qualifications, experience, and alignment with the department s strategic vision. Applicants must hold a Ph.D. in the Sciences and have completed a productive postdoctoral tenure that clearly demonstrates strong potential for an internationally recognized and impactful research career.

Required skills : - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

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 software and infrastructure that enables the capture, analysis, storage, and report of pre-clinical and clinical omics (genomics, proteomics, transcriptomics) data. 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. 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 Translate complex scientific and technological needs into clear, actionable requirements for development teams Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis Develop documentation, communication plans and training plans for end users 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 with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Bachelors degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field Preferred Qualifications: 2+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: 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 JIR Experience with cloud (e.g. AWS) and on-premise infrastructure High degree of organizational skills and the ability to manage multiple tasks Good-to-Have Skills: Experience in configuration and administration of platforms such as Benchling, or other LIMS Knowledge in bioinformatics, various Omics technologies and data analysis Understanding the implementation of scientific software platforms 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 Apply now and make a lasting impact with the Amgen team. 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 accommodation.

Scientific Business Analyst (Specialist) – R&D Omics What you will do Let’s do this. Let’s change the world. 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 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 software and infrastructure that enables the capture, analysis, storage, and report of pre-clinical and clinical omics (genomics, proteomics, transcriptomics etc.) data. 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. 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 Translate complex scientific and technological needs into clear, actionable requirements for development teams Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis 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 documentation, 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 and Experience: PhD with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Master’s degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 6 - 8 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Diploma with 9+ years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field Preferred Qualifications: 4+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Expertise in Omics data (Genomics, Proteomics, Transcriptomics etc.), oncology data Experience with bioinformatics tools and research workflows used to manage omics data Good understanding of database technology (e.g. RDBMS, Databricks) Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with cloud (e.g. AWS) and on-premise infrastructure Good-to-Have Skills: Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Knowledge of handling GxP data and system validation (i.e. GCP) Understanding of AI and machine learning for drug discovery research and preclinical development In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience managing vendors, licenses in support of a Product team Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with platforms such as Benchling, or other LIMS 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, 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.

We are seeking a Manager - Software Engineering to lead the design and development of software data and analytics applications to drive business decisions for Research. The ideal candidate possesses a deep understanding of software engineering principles, coupled with strong leadership and problem-solving skills. This position requires close collaboration with business analysts, scientists, and other engineers to create high-quality, scalable software solutions. You will continuously strive for innovation in the technologies and practices used for software engineering and develop a team of expert software engineers. You will collaborate with multi-functional teams, including platform, functional IT, and business collaborators, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient. Roles & Responsibilities Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Software Engineering Leadership: Partner closely with product team owners, the business team including scientists, and other collaborators to lead the software engineering solutioning, ensuring deliverables are completed on time and within scope to deliver real value and meet business objectives. Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements. Analyze and understand the functional and technical requirements of applications, solutions, and systems and translate them into software architecture and design specifications. Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software. Work closely with product team, business team including scientists, and other collaborators. What We Expect of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or related field OR Bachelor's degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or related field Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously. Proficient in General Purpose High-Level Language (e.g., NodeJS/Koa, Python, or Java). Proficient in Javascript UI Framework (e.g., React or ExtJs). Proficient in SQL (e.g., Oracle, PostGres, or Databricks). Preferred Qualifications 3+ years of experience in implementing and supporting custom software development for drug discovery. Strong understanding of cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes). Experience in automated testing tools and frameworks (e.g., Jest, Playwright, Cypress, or Selenium). Experience with DevOps practices and CI/CD pipelines. Experience with big data technologies (e.g., Spark, Databricks). Experienced with API integration, serverless, microservices architecture. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk). Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation). Experience with version control systems like Git. Strong understanding of software development methodologies, mainly Agile and Scrum. Strong problem-solving, analytical skills; Ability to learn quickly & work independently; Excellent communication and interpersonal skills. Professional Certifications AWS Certified Cloud Practitioner (preferred). Soft Skills Excellent critical-thinking and problem-solving skills. Strong communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills.

Act as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team, bridging global research informatics and scientists. Manage custom internal platforms, commercial software (COTS), and systems integrations for in vivo study data management. Translate complex scientific and technical requirements into clear, actionable user stories and acceptance criteria, using tools like JIRA. Develop and maintain a product roadmap detailing features, timelines, and milestones. Identify and manage technological risks, scientific validation, and user acceptance challenges. Create documentation, communication, and training plans for end users. Ensure integration of scientific data operations in AI/ML capabilities for research. Maintain operational excellence, cybersecurity, and regulatory compliance. Collaborate effectively with globally dispersed teams across multiple locations. Require experience configuring and administering LIMS/ELN platforms (e.g., Benchling, STARLIMS) and building dashboards in Spotfire, Tableau, or Power BI. Preferred: 5+ years supporting biopharma scientific software, GxP data validation, cloud infrastructure (AWS), AI/ML in drug research, and SAFe Agile processes. Strong soft skills including communication, teamwork, initiative, multitasking, and presentation/public speaking abilities.

Experience the power of DNA Eurofins Genomics India's expertise and experience in the field of genomics has helped us to gain a solid reputation as a provider of high quality DNA/RNA oligonucleotides, NGS, Gene synthesis and Sequencing services to the top life science industries, research Institutes and academic research institutions across India and covering more than 6000 customers. The laboratory and production facility has established profound know-how and proprietary protocols to cover a broad range of applications. Our production facility is ISO 90012015 certified, which ensures you get the highest quality of products and services. Eurofins Genomics India's prime goal is to provide its customers with high-quality services, accurate results in fast turnaround time. We make our best effort to exceed our customer's expectations and help them in achieving their research goals in a cost-effective and quick way. With over 30,000 staff in over 375 laboratories across 41 countries, Eurofins Scientific is the world leader in food, environment, genomics and pharmaceutical products testing. It is also one of the global market leaders in agroscience, genomics, discovery pharmacology, and central laboratory services. In addition, Eurofins is one of the key emerging players in specialty Clinical Diagnostic testing in Europe and the USA. -Should have experience in NGS data analysis, such as WGS, RNASeq, Small RNA, Metagenome (16S, ITS, Whole metagenome), QTLseq, Exome, etc. -Should also have good programming skills in python, PHP,J Query,MySql. -Implement and execute data processing workflows and automate the pipelines. -Manage project timelines and deliverables. -Develop NGS pipeline for analysis and interpretation of NGS data Qualifications MSc or M.Tech/PhD in bioinformatics Additional Information Monday to Friday workings

The candidate will undergo a self-financed job-oriented patent analyst training at the Indian Institute of Patent and Trademark. On successful completion of the training, they will be placed for full-time patent analysis in the pharmaceutical domain. Required Candidate profile Scientific and Analytical Thinking Eager to work in drugs and formulation Candidates must have sound knowledge about the subjects they study in Graduation

Click here to download form SCHOOL OF AGRICULTURAL BIOTECHNOLOGY PAU, LUDHIANA Applications Are Invited On Prescribed Form Along With The Application Fee Of Rs 200/In Shape Of Online Payment On Any Working Day From 9 00 A M To 5 00 P M In Favor Of Comptroller, PAU, Ludhiana Along With Attested Copies Of Certificates For These Positions In Project As Given Below: One post of Project Scientist-1 @ Rs 56,000/+ 16% HRA provided in the project Application of Bioinformatics and Computational Biology in Agriculture BIC at Punjab Agricultural University, LudhianaCSS-05 (PC-6352) (Financed by Govt of India, Ministry of Science & Technology, DBT, New Delhi) with Qualifications as under, Educational Qualifications: Sc Sc D Age Limit: 18 years to 35 Years Note-I The Candidates who does not possess Masters degree in the relevant subject but possess Ph D degree in the discipline required at Masters level, shall be eligible for the post, Note-IIDesirable Qualifications; Experience of working in Bioinformatics / NGS / Genomics / Machine Learning/ Database Designing and good experience in Programming Language as evident from good quality publications in peer reviewed journals, NoteIIIThe position is purely on contract/ temporary basis and co-terminus with the project The position will be initially awarded for a period of six months and will be extended further based on performance, One post Project AssociateI @ Rs 31,000/per month fixed + 16% HRA for in the Project entitled Molecular Mapping and transfer of jassid resistance in Okra esculents (L ) Moench CSS 49 (PC6371) Educational Qualifications: (i) b-sc with minimum OCPA 6 00/10 00 basis or 60% marks, (ii) m-sc in Biotechnology/Molecular Biotechnology & Biology/Plant Breeding and Genetics/ Vegetable Science with at least an OCPA 6 50/10 00 or 65% marks, Note-I: The candidates who does not possess Masters degree in the relevant subject but possess P hD degree in the discipline required at Masters level, shall be eligible for the post, Note-II: The candidate have passed NET/ GATE exam, Note-III:Posts will be filled @ Rs 25000/fixed + 16% HRA from among the candidates who fulfill all other required qualifications but have not cleared NET/NET-LS/GATE/other National level tests conducted by Central level departments and their agencies Note-IV: The Candidates should have passed Punjabi at Matriculation level Age Limit: Maximum Age 37 Years, Details for the payment of online application fee- Name of Account COMPTROLLER PAU RECRUITMENT, Saving Account No 29380100017259, Name of the Bank Bank of Baroda PAU, IFSC Code BARB0PAULUD (0 is zero), The last date for the receipt of applications (duly completed in all respects) in this office is 09 05 2025 Incomplete applications or unsupported by the requisite documents will not be entertained The candidate should appear for interview on 20 05 2025 at 11 00 a m in the office of the undersigned Only selected candidates will be informed through email No TA/DA will be paid for attending the interview The application form is available at PAU website pau edu, Director School of Agricultural Biotechnology PAU, Ludhiana

Join our dynamic and innovative global Computer-Aided Drug Discovery (CADD) group, now expanding to India! Be a part of our Hyderabad team, where we unite diverse talents to revolutionize the validation and development of new targets in Biomedical Research. As a driving force behind drug discovery, we are excited to find an exceptional computational scientist like you to join our global ranks. Imagine the opportunity to unlock hidden knowledge and disruptive insights from the vast and invaluable data collected by one of the worlds most renowned pharmaceutical companies. We need your expertise, experience, and unwavering passion to help us extract this wealth of information. Collaborating with a multidisciplinary group of scientists, you will be at the forefront of crafting inventive solutions to the most pressing drug discovery challenges, forging new paths toward groundbreaking medicines. Are you'ready to seize this extraordinary chance to make a significant impact in the field of drug discoveryWe invite you to embark on this thrilling journey with us, as we push the boundaries of whats possible in scientific exploration. Join our team and be part of a revolution that will shape the future of medicine. Together, we will transform the landscape of drug discovery, accelerate breakthroughs, and change lives. Apply now and let your expertise shine in our dynamic and forward-thinking environment. About the Role Your Responsibilities Include : Drive the design of medicinal chemistry efforts by applying in-depth knowledge of structure-activity relationships (SAR), a profound understanding of target biology, and predictive methods for assessing on- and off-target activity, physical properties, pharmacokinetics / pharmacodynamics (PK/PD), and synthetic feasibility. Thrive at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery. Stay abreast of scientific literature and engage with internal and external scientists to incorporate biological insights into lead characterization and screening initiatives. Collaborate with interdisciplinary project teams to facilitate effective decision-making throughout the target identification to candidate nomination process. This involves applying and developing predictive models based on high-content and time-resolved screening data, including imaging techniques. Drive hypothesis generation to enhance clinical success rates for programs involving small molecules, peptides, RNAs, protein degradation, molecular glues, transient covalent inhibitors, and kinetic stabilization of drug-target complexes. Take a leading role in cross-disciplinary mechanistic studies using physics-based modeling and simulation, biophysical characterization, and cellular validation. These studies will inform the strategic targeting strategies of discovery projects, aiming for optimal mechanisms of action (MoAs). Minimum Requirements: Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. Candidates with a laboratory-based background in chemistry and biology, supplemented with strong computational experience, are also encouraged to apply. 5+ years of experience working with project teams in a drug discovery environment. Proven track record of innovation through analogue design, leading to significant impact on discovery projects. Familiarity with drug design tools and high-performance computing environments and strong publication history in peer-reviewe'd journals. Skills and Abilities: Proactively anticipates project needs with a clinical focus. Demonstrates rigor and diligence in idea substantiation, analogue design, and experimentation. Strong team orientation with multitasking and adaptability in support and leadership roles. Effective listener with excellent written and oral communication skills. Proficient in data visualization to effectively communicate insights.

As a Data Science expert, you will join our Modeling Simulation Data Science team in the Translational Medicine Unit and help us to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to effectively harness the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data generated within our department and master the use of our in-house applications and state-of-the-art machine learning (ML) methods and statistical techniques to accelerate drug design. Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team Your responsibilities will include, but are not limited to: Act as the MS Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guid e decisions such as compound progression and in vivo study prioritization Master and advocate the use of in silico models and in-house tools , applications and data to accelerate and streamline decision making Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, RNAs Identify opportunities to create custom, project- or modality-specific in silico models and data strategy , and contribute to their development and implementation Proactively seek opportunities to increase the impact and awareness of MS Data Science through clear and concise communications with internal and external audiences or various expertise M onitor and stay up to date on developments within the field of AI/ML applied to ADME and PK/PD, and data science methods applied to drug discovery Essential requirements: Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences , data science , computational biology , computational chemistry or related field ) PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes Experience in the application of (reproducible) data science methods , tools and practices to drug discovery Strong understanding of statistics , machine learning and deep learning Demonstrated knowledge of data visualization and exploratory analysis Solid skills in programming languages, ie Python and R, including software development practices such as version control, testing, documentation, etc . Knowledge of machine le a rning/deep learning libraries such as scikit-learn, keras or pytorch Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language) Desirable : Expertise with discovery-stage PK modeling for small molecule compounds (eg, relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus Experience with generative algorithms and explainable AI Languages : English.

Career Category Information Systems Job Description Role Description: This role is responsible for defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals. 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 manage compound inventories / biological sample banks, as well as those that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre- clinical studies . You will play a pivotal role in shaping the software ecosystem in this area, ensuring that it meet s both current and future business needs while providing technical leadership to junior team members . Roles & Responsibilities: Provide technical guidance and mentorship to junior developers Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities Maintain documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Work with stakeholders to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Basic Qualifications and Experience: Doctorate Degree OR Master s degree with 4 - 6 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Bachelor s degree with 6 - 8 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field Preferred Qualifications and Experience: 3+ years of experience in implementing and supporting biopharma scientific research software platforms Functional Skills: Must-Have Skills: Strong architectural design and modeling skills Experience with system integration , IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology , including Product Teams and Product Development models Good-to-Have Skills: Problem-Solving: Ability to identify and solve complex technical challenges. Solution Design: Proficiency in designing scalable, secure, and cost-effective solutions. Vendor Management: Experience in evaluating and selecting technology vendors. Proof of Concept: Ability to create and demonstrate proof of concept solutions to validate technical feasibility. Systems Analysis: Ability to decompose complex systems into smaller, manageable components. Design Patterns: Knowledge of common design patterns and their application in software development. Non-Functional Requirements: Consideration of factors like performance, scalability, security, and reliability in system design. Integration: Understanding of system integration principles and technologies ( e . g . Mulesoft, AWS Kafka) Technology Stack: Familiarity with a variety of programming languages ( e . g . Python, Java) , frameworks, databases ( e . g . Oracle, MySQL) and Salesforce Experience with cloud computing platforms (AWS) Strong solution design and problem-solving skills Strong understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills .

Associate Data Engineer Graph – Research Data and Analytics What you will do Let’s do this. Let’s change the world. In this vital role you will be part of Research’s Semantic Graph. Team is seeking a dedicated and skilled Data Engineer to design, build and maintain solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance, graph-based, data engineering solutions for large scientific datasets and collaborate with Research partners. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, has experience with semantic data modeling and graph databases, and understands data architecture and ETL processes. Roles & Responsibilities: Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain documentation of processes, systems, and solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Bachelor’s degree and 1to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR Diploma and 4 to 7 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Hands on experience with big data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on data processing. Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Experience with system administration skills, such as managing Linux and Windows servers, configuring network infrastructure, and automating tasks with shell scripting. Examples include setting up and maintaining virtual machines, troubleshooting server issues, and ensuring data security through regular updates and backups. Solid understanding of data modeling, data warehousing, and data integration concepts Solid experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining user documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation 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.

Scientific Business Analyst (Specialist) – ELN What you will do 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 maximises 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 scientific software platforms such as Laboratory Information Management Systems (LIMS) that enable the capture of lab workflows & experimental data and Electronic Lab Notebooks (ELN) that act as Amgen’s System of Record ensuring data integrity and business continuity. 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 landmarks 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: Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, 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 with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms. Good-to-Have Skills: 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) 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 stakeholders Knowledge of business analysis standard processes, 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, 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.

Scientific Business Analyst (Specialist) – Biological Studies (LIMS) What you will do Let’s do this. Let’s change the world. 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: Master’s degree and 4 to 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s 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-premises 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 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.

Roles and Responsibilities: Be the subject matter expert for bioinformatics applications and analysis software. Advice customers on technical aspects such as end-to-end workflows according to their studies designed and provide possible solutions. Provide software demonstrations and presentations to customers. Attend relevant workshops and conferences. Position involves traveling and candidate should be willing to do so. Candidate should have good presentation skills. Independently resolve customer issues while communicating in professional manner. Having knowledge on IT/networking will be plus point. Qualifications and skills: Masters/PhD degree in Bioinformatics/Biotechnology with 2+ experience Experience in handling genomic data (microarray/NGS) Should have knowledge on end-to-end bioinformatics pipeline(exome/wgs/transcriptome/methylome, etc) Experience in various bioinformatics tools and databases (BWA, GATK, samtools, vcftools, bedtools, TCGA, COSMIC db, CLINVAR, etc) Proficiency with Linux, Unix, PERL/Python/R/Shell Travel upto 40%. Interested candidates can share their resume at hr@premaslifesciences.com