49 Computational Biology Jobs

The Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the position of Assistant Professor / Associate Professor / Professor. Located in Kollam, Kerala, the department is looking to fill a total of 5 positions. The ideal candidates should hold a B.Tech, M.Tech, and Ph.D. in Computer Science & Engineering. Candidates with a Ph.D. or Post-Doc from a highly ranked (top 200) university will be given preference. Strong teaching experience, a robust research background, and graduation of PhD scholars are required for the Associate Professor and Professor roles. Research scholars who have submitted their PhD thesis are also encouraged to apply for the Assistant Professor position. Interested individuals with expertise in areas such as Robotics and Artificial Intelligence, Data Science, Cybersecurity & Networking, Parallel and Distributed Computing, Embedded Systems / Robotics, Computer Architecture and Specialization, Computational Biology, Computational Linguistics, Human-Computer Interface / Computer Graphics, Research in Speech / Signal Processing, Complex Networks / Knowledge Graphs / Web Analytics, Big Data Analytics, Cloud Computing, Web / Mobile / Game Development, and Theoretical Computer Science / Algorithms are invited to submit their C.V. with SCOPUS ID/ORCID and publication list to csjobs@am.amrita.edu. This position falls under the category of Teaching and the last date to apply is December 31, 2024. For further details, please contact csjobs@am.amrita.edu.,

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

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

Position Overview We are seeking a passionate and highly skilled Computational Research Scientist specializing in deep learning to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives. Key Responsibilities Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems. Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets. Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation. Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions. Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai. Required Qualifications Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications. Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Proficiency in programming languages including Python (preferred), R, or MATLAB. Strong written and verbal communication skills. Proven ability to work independently and collaboratively in a dynamic research environment. Preferred Qualifications Knowledge of metabolic engineering, synthetic biology, or systems biology concepts. Familiarity with metabolic flux analysis and constraint-based modeling techniques (eg, Flux Balance Analysis, COBRA Toolbox). Experience with protein structure prediction and modeling. Background in industrial biotechnology or experience working in start-up environments. Desired Working Style Exceptionally organized with the ability to manage multiple projects and priorities simultaneously. Quick learner with a proactive, inquisitive mindset. Adaptable and comfortable with evolving roles and responsibilities typical in start-ups. Strong collaborator with excellent interpersonal and communication skills. Commitment to high standards of scientific integrity and professional ethics.

Role Overview We are looking for a Scientific Content Writing Intern who can help translate complex scientific data into clear, accurate, and engaging content. This role is ideal for students or early-career professionals passionate about science communication, public health, and genomics. Key Responsibilities Assist in writing, editing, and proofreading scientific documents including: Scientific content for blog posts, case studies, product brochures, and posters Whitepapers and abstracts for scientific conferences Website and social media content related to genomics and diagnostics Conduct literature reviews and ensure content accuracy and alignment with current scientific understanding Collaborate with R&D, and clinical teams to gather data and insights Maintain referencing and citations in appropriate formats (e.g., AMA, Vancouver) Support development of visual science communication tools like infographics Requirements Masters or final year Bachelor's student in life sciences, biotechnology, microbiology, genetics, pharmacology, or a related field Excellent written and verbal communication skills Strong understanding of biology/genomics and interest in diagnostics or healthcare innovation Ability to interpret and simplify research findings for broader audiences Familiarity with literature databases (e.g., PubMed) and reference managers (e.g., Mendeley/Zotero)

Role Overview Were looking for a proactive and organized Marketing Intern to support project coordination and research activities for our identifi product line. This role is ideal for someone who is detail-oriented, curious, and passionate about applying marketing skills in a high-impact, science-driven environment. Key Responsibilities Project Coordination Assist in tracking and coordinating ongoing marketing projects for identifi products Liaise with internal teams (sales, clinical, design, operations) to ensure timely execution Maintain project trackers, timelines, and weekly status reports Follow up with vendors and creative teams for deliverables and approvals Market Research Conduct research on infectious disease diagnostics market, competitors, and new trends Analyze and summarize data on customer needs, testing protocols, and regional trends Benchmark product messaging, pricing, and campaigns across diagnostic brands Assist in creating presentations, research summaries, and product decks Requirements Pursuing or recently completed a degree in Marketing, Healthcare Management, Life Sciences, or Business Strong organizational and communication skills Proficiency in MS Excel, PowerPoint, and Google Workspace Comfortable working in a fast-paced, cross-functional setup Interest in healthcare, diagnostics, or genomics is a strong plus

At Umami Bioworks, we are a leading bioplatform for the development and production of sustainable planetary biosolutions. Through the synthesis of machine learning, multi- omics biomarkers, and digital twins, UMAMI has established market-leading capability for discovery and development of cultivated bioproducts that can seamlessly transition to manufacturing with UMAMI s modular, automated, plug-and-play production solution By partnering with market leaders as their biomanufacturing solution provider, UMAMI is democratizing access to sustainable blue bioeconomy solutions that address a wide range of global challenges. Umami Bioworks is looking to hire an inquisitive, innovative, and independent Machine Learning Engineer to join our R&D team in Bangalore, India, to develop scalable, modular ML infrastructure integrating predictive and optimization models across biological and product domains. The role focuses on orchestrating models for media formulation, bioprocess tuning, metabolic modeling, and sensory analysis to drive data-informed R&D. The ideal candidate combines strong software engineering skills with multi-model system experience, collaborating closely with researchers to abstract biological complexity and enhance predictive accuracy. Responsibilities Design and build the overall architecture for a multi-model ML system that integrates distinct models (e.g., media prediction, bioprocess optimization, sensory profile, GEM-based outputs) into a unified decision pipeline Develop robust interfaces between sub-models to enable modularity, information flow, and cross-validation across stages (e.g., outputs of one model feeding into another) Implement model orchestration logic to allow conditional routing, fallback mechanisms, and ensemble strategies across different models Build and maintain pipelines for training, testing, and deploying multiple models across different data domains Optimize inference efficiency and reproducibility by designing clean APIs and containerized deployments Translate conceptual product flow into technical architecture diagrams, integration roadmaps, and modular codebases Implement model monitoring and versioning infrastructure to track performance drift, flag outliers, and allow comparison across iterations Collaborate with data engineers and researchers to abstract away biological complexity and ensure a smooth ML-only engineering focus Lead efforts to refactor and scale ML infrastructure for future integrations (e.g., generative layers, reinforcement learning modules) Qualifications Bachelor s or Master s degree in Computer Science, Machine Learning, Computational Biology, Data Science, or a related field Proven experience developing and deploying multi-model machine learning systems in a scientific or numerical domain Exposure to hybrid modeling approaches and/or reinforcement learning strategies Experience Experience with multi-model systems Worked with numerical/scientific datasets (multi-modal datasets) Hybrid modelling and/or RL (AI systems) Core technical skills Machine Learning Frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost, CatBoost Model Orchestration: MLflow, Prefect, Airflow Multi-model Systems: Ensemble learning, model stacking, conditional pipelines Reinforcement Learning: RLlib, Stable-Baselines3 Optimization Libraries: Optuna, Hyperopt, GPyOpt Numerical & Scientific Computing: NumPy, SciPy, panda Containerization & Deployment: Docker, FastAPI Workflow Management: Snakemake, Nextflow ETL & Data Pipelines: pandas pipelines, PySpark Data Versioning: Git API Design for modular ML blocks

- 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.

As a Field Bioinformatics Scientist at MGI, you will play a crucial role in designing, developing, optimizing, and maintaining in-house bioinformatics pipelines and various genomics applications. Your responsibilities will include understanding customer research questions, providing tailored solutions, and addressing technical issues from global sales and customers. You will collaborate with various teams such as FAS, FSE, Product Managers, and R&D to provide feedback, develop customized solutions, and support solution provision. Your role will also involve staying updated on sequencing, bioinformatics, MGI products, and industry trends, evaluating new software/tool suitability for different applications, and applying best-practice statistical and computational methods. Additionally, you will be responsible for providing technical pre-sales and post-sales support services, conducting training sessions and webinars for customers and the front-end sales team, and managing documentations such as training materials, FAQs, slides, videos, SOPs, and knowledge base content. The ideal candidate for this position should hold a Bachelor's degree or higher with at least 3 years of experience in academic or industrial settings in Bioinformatics, Computational Biology, Biostatistics, or Computer Science. You should have expertise in developing next-generation sequencing data analysis methods for DNA, RNA, and Long read analysis, along with proficiency in scripting languages like Python, bash, Perl, C++, and R. Excellent communication skills, the ability to work independently and collaboratively, manage tasks efficiently, and adapt to a fast-paced environment are essential for this role. Experience with version control systems such as Git, a wide range of bioinformatics tools, and proficiency in Linux operating systems like Ubuntu, Fedora, CentOS, etc., will be advantageous. At MGI, we believe in promoting advanced life science tools for future healthcare and transforming lives for the better. We encourage innovation, bold decision-making, and a commitment to improving the world we live in. Join us in leading life science innovation and contributing to a healthier and longer life for everyone. With a focus on transparency, fairness, and a friendly environment, we value our employees as partners and prioritize their physical and mental well-being. Embrace our agile management approach, enjoy independence with guidance, and foster a balanced life-work culture as we strive towards a brighter and more equal future together. #Omicsforall,

- 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.

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.

- 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.

We welcome applicants with a deep interest in one or more of the following fields: Artificial Intelligence Quantum Computing Geographic Information Systems (GIS) & Climate Science BioTechnology & Computational Biology Computational Physics

Experience the power of DNA Eurofins Genomics is part of Eurofins Scientific Group, an international provider of genomic services established around the core business lines of next generation sequencing, custom DNA sequencing, oligonucleotides, siRNA and gene synthesis. The company's main mission is focused on customer convenience and high quality services in industrial scale for the life science industries and academic research institutions around the world. Eurofins Genomics India corporate office is located in Bangalore with a 14000 sq.ft. with a state-of-the-art infrastructure having more than sixty highly qualified, trained and skilled scientific resources, production facility, data analysis par excellence expertise and quality of products and services. Our NGS projects are being delivered using advanced Illumina NextSeq500 platform, HiSeq2500, MiSeq, PacBio sequel with high performance computational infrastructure. 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

Join us and contribute to the discovery of medicines that will impact lives! Aganitha is accelerating drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build. Aganitha, which means countless or limitless in Sanskrit, serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless! Key Responsibilities: - Engage and co-innovate with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Scientists, Data Engineers, and Web Developers to create the next generation of innovative computational solutions for drug discovery and development. - Lead architecture initiatives from inception to completion - Design and oversee implementation of solutions for BioPharma R&D - Manage Engineering teams using Agile methodologies - Enhance reuse with platforms, frameworks, and libraries - Collaborate with business users to create architecture in alignment with a business need - Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment and ensure delivered solutions meet/perform to technical and functional/non-functional requirements. - Champion the adoption of reusable architecture assets to improve efficiency - Produce documentation to aid in the understanding of existing architecture solutions - Advise our technical teams to optimize the recommended product suite in defining, building, and deploying end-to-end solutions - Lead the translation of the clients business requirements into systems design - Drive the development of prototypes and technology demonstrators within microservice architecture, cloud-native solutions - Design and document system installation and upgrade guides, specifications, and related standards and guide technical team, application specialists - Design application user guides, document common workflows, prepare training materials and conduct or participate in knowledge-sharing sessions with technical teams - Design future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability - Design and implement optimal deployment strategies and custom interfaces for integration with customer systems and technologies - Help customers tackle thorny technical issues by collaborating to create smart, efficient, and effective solutions - Work closely with customers on the installation, configuration, and update/maintenance of on-premises or cloud-hosted installations of our scientific computing and enterprise software applications - Collaborate with product managers, developers, and scientists, to improve the deployment, support, and configuration of our applications Desired Skills / Expertise: - Big data engineering with distributed computing frameworks - Cloud and DevOps automation - App dev with modern tech stacks of Python, ReactJS, and fit-for-purpose database technologies - Experience in directing/building solutions leveraging Machine learning (ML) and AI (Deep learning) - Excellent communication skills with a desire to work in multidisciplinary teams Educational Qualifications: - Bachelors / Masters / Ph.D. in Computer Science or related technical field,

Join our team and contribute to the discovery of medicines that will impact lives! Located in Hyderabad, India, Aganitha is dedicated to accelerating drug discovery and development for Biopharma and Biotech R&D through innovative in silico solutions. Our team leverages Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps to drive advancements in the industry. In silico solutions have revolutionized the biopharma and biotech sectors, and our team of experts is at the forefront of this transformation. We are constantly expanding our multi-disciplinary team in Genomics, AI, and Cloud computing to accelerate drug discovery and development. Our passion lies in working in an innovation-rich, research-powered startup that bridges various disciplines to bring medicines to market faster. Collaborating with innovative Biopharma companies globally, we are committed to pushing boundaries and making a difference. As a part of our team, your key responsibilities will include engaging and co-innovating with R&D teams of our Biopharma clients, leading architecture initiatives, designing and overseeing implementation of solutions for BioPharma R&D, managing Engineering teams, enhancing reuse with platforms and frameworks, collaborating with business users, driving scope definition, and ensuring delivered solutions meet technical and functional requirements. Desired skills and expertise for this position include experience in big data engineering, cloud and DevOps automation, application development with modern tech stacks, and proficiency in Machine Learning and AI. Excellent communication skills and the ability to work in multidisciplinary teams are also essential. We are seeking individuals with educational qualifications such as a Bachelors, Masters, or Ph.D. in Computer Science or a related technical field to join our dynamic team at Aganitha. If you are passionate about making a difference in drug discovery and development, we invite you to join us in our mission to bring out your best and be limitless!,

- 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.

- 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.

Designation: Computational Biologist Full Time Opportunity Location: Full Time Job Description: - 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.

Designation: Computational Biologist Full Time Opportunity 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.

Women candidates. For other exceptional candidates, age will be relaxed based on the discretion of the competent authority. Since this fellowship is meant to bring in the best of candidates outside of ACTREC so that the faculty and the fellow are mutually benefited from new expertise and a fresh perspective, the following conditions apply for the internal candidates: At the time of application, candidates who have graduated from ACTREC should not have completed more than six months after the award of the degree. Candidates who have graduated elsewhere and are working in any of the labs at ACTREC should not have been associated with the lab for more than six months at the time of application. In either of these cases, the fellowship will be awarded strictly for one year within which time the candidate has to find alternative support. No more than one fellowship will be awarded under this clause and the candidates will be subjected to the same selection protocol. Money Consolidated Salary: Rs. 73,660/- per month. (Rs. 58,000/- + 27% HRA) p.m. The work progress of the candidate will be monitored, and extension will depend on satisfactory progress of the work. Qualification PhD degree from a government recognized University or research institution. Experience At least one research article publication in a well reputed international journal. Expertise in any one or more of these areas: Cancer Biology, Molecular Biology, Cell Biology, Structural Biology, Computational Biology, Proteomics and Genomics. Candidates must be capable of conducting independent research under the mentorship of the PI, develop their own ideas and design experiments. They should be capable of working in a collaborative environment.

in NIRF 2024 and is placed in the band of 501 - 550 in the QS Rankings for Asia region 2024. It has received Diamond rating in the QS I Gauge India Ratings and has been ranked in the 601+ band in the Times Higher Education World University Rankings, Asia. Job Description: Candidate will be responsible for teaching undergraduate and/ or postgraduate Bioinformatics courses, guiding student research and conducting original research in the field of bioinformatics & computational biology. He/ she shall contribute to curriculum development, interdisciplinary collaborations and securing research funding. Money As per Norms Qualification M.Sc (Bioinformatics/ Biotechnology/ Life Sciences), Ph.D (preferred) Experience Minimum of three years of research/ teaching experience.

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.

Role Overview We are seeking a highly motivated AI Researcher with a Ph.D. in Mathematics or Physics to join our research team. You will contribute to the development of cutting-edge AI models applied to biological data, collaborating with scientists and engineers to drive discovery and innovation. Develop, analyze, and optimize advanced machine learning models, including deep learning and probabilistic models, tailored to biomedical applications. Conduct theoretical and applied research bridging mathematics/physics with biological systems and data. Collaborate with domain experts to frame complex biological challenges into solvable AI problems. Design and implement experiments to validate model performance on real-world biological datasets (e.g., genomics, proteomics, medical imaging). Publish findings in top-tier journals and conferences, and contribute to patents and IP development. Stay current with the latest research in AI, applied mathematics, and computational biology. Qualifications Ph.D. in Mathematics, Physics, or a closely related field. Strong background in one or more of the following: statistical mechanics, optimization, information theory, Bayesian inference, or numerical modeling. Solid programming skills in Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, JAX). Ability to work with large-scale, high-dimensional datasets. Excellent problem-solving and mathematical modeling skills. Strong communication skills and the ability to work in an interdisciplinary team. Preferred Qualifications Experience with AI applications in biology, chemistry, or healthcare. Familiarity with bioinformatics tools and biological data formats (e.g., FASTA, VCF). Previous publications or projects in applied AI research.

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 biology to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve developing and applying computational methods to integrate multi-omics data for disease modeling and understanding biological mechanisms. The successful candidate will have a PhD in computational biology, bioinformatics, systems biology, or a related field, with a deep understanding of analyzing large-scale biological datasets. 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 biology to develop and refine disease models using diverse biological data. Integrate multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify key biological insights and mechanisms. Develop and implement computational pipelines and algorithms for the analysis of complex biological data from public and proprietary sources. Stay up to date with the latest advancements in computational biology, bioinformatics, and systems biology to incorporate cutting-edge research into disease modeling efforts. Collaboration & Project Management: Work closely with cross-functional teams, including disease domain experts, experimental 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 biology, bioinformatics, systems biology, or a closely related field. Strong expertise in analyzing and interpreting large-scale biological datasets, including genomics, transcriptomics, proteomics, or metabolomics. Solid understanding of disease biology, with the ability to contextualize computational findings within broader disease mechanisms. Proficiency in programming languages commonly used in computational biology (e.g., Python, R) and experience with relevant software tools and databases. Excellent verbal and written communication skills, with the ability to convey complex computational concepts clearly. Preferred: Experience with machine learning or artificial intelligence techniques applied to biological data. Previous experience working in a multidisciplinary research environment. Familiarity with cloud computing environments and high-performance computing. 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 biology/bioinformatics 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 biology and disease modeling. 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 .