Scientist – Research Computational Biology Job at Amgen (Hyderabad)

Senior Scientist – Research Computational Biology

Join Amgen’s Mission of Serving Patients. The ARIA Computational Biology team is...

Location

United States

Salary:

143320.00 - 174539.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree and 3 years of relevant research experience
Bachelor’s degree and 5 years of relevant research experience
Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git)
Track record of designing and implementing creative and holistic computational strategies to address challenging research questions
Demonstrated expertise in the analysis and interpretation of single cell omics data
Excellent presentation and communication skills to convey complex findings to diverse audiences
Self-starter with a collaborative mentality and a drive for continuous growth

Job Responsibility

Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses
Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities
Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships
Partnering with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Scientist, Biological Sciences

An exciting opportunity is available to join Altos Labs. We are seeking highly m...

Location

United States , San Diego

Salary:

116450.00 - 247000.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD and a documented record of professional achievement in the form of impactful publications
Excellent computer skills, including advanced proficiency with Google apps, Excel, and Powerpoint graphic skills to produce documents and manage office projects
Excellent professional writing skills and the ability to attune through writing and presentations to a variety of audiences including senior executives through entry-level employees
Problem-solving skills sufficient to identify issues, conduct research, and develop innovative solutions
Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members, faculty, outside agencies and collaborators, and the community
Demonstrated high productivity and ability to complete work in a timely manner
Ability to organize work and set priorities
Ability to focus on details to produce accurate, quality work driven by deadlines
Ability to work in a dynamic environment and with others in a team
Strengths in dealing with ambiguity

Job Responsibility

Engage in ground-breaking and innovative science
Support and manage internal/external collaborations in one or more multidisciplinary projects to accelerate essential research activities
Study the mechanistic basis of cell programming for health and rejuvenation
Responsible for mentoring graduate students
Responsible for developing project-specific experimental strategies, techniques, and procedures
Responsible for helping PI train lab members, including scientists and technicians
Contribute to writing and dissemination of research results
Carry out research projects in collaboration with the PI

Computational Biologist

Are you a data-driven scientist passionate about turning complex biological data...

Location

Canada , Toronto

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

PhD or Master’s degree in Computational Biology, Bioinformatics, Genomics, or a related field
Proven experience applying computational biology methods in a pharmaceutical or biotech setting
Proficiency in programming languages such as Python, R, or Perl
Experience with high-throughput data analysis and visualization tools
Solid understanding of molecular biology and biological systems
Strong communication skills and ability to work collaboratively across scientific teams

Job Responsibility

Analyze large-scale biological and multi-omics datasets (genomics, transcriptomics, proteomics, etc.)
Develop and apply computational models, pipelines, and algorithms to support drug discovery and development
Collaborate with cross-functional teams including bioinformaticians, data scientists, and wet lab researchers
Interpret results and present findings to scientific and non-scientific stakeholders
Contribute to the design of experiments and data collection strategies
Ensure data quality, reproducibility, and compliance with scientific and regulatory standards

What we offer

An international community bringing together more than 110 different nationalities
An environment where trust is central: 70% of our leaders started their careers at the entry level
A strong training system with our internal Academy and more than 250 modules available
A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)

Fulltime

Associate Vice President for Research Computing

The Associate Vice President (AVP) for Research Computing serves as the senior e...

Location

United States of America , Rochester

Salary:

205245.00 - 328392.00 USD / Year

University of Rochester

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a relevant field of study.
Doctoral or advanced degree in a relevant field of study, advanced strongly preferred.
Minimum of 10 years of experience in informatics and computational research, with at least 5 years in a leadership role preferred.
Experience as a faculty member in higher education preferred.
Experience working in research-intensive higher education environment preferred.
Deep understanding of the research lifecycle and advanced knowledge of HPC architectures, scientific software, cloud-based research environments, and large-scale data storage.
Working knowledge of scientific concepts in fields such as biology, biochemistry, genomic, imaging, chemistry, physics and data science / AI
Proven ability to lead large technical teams, foster faculty partnerships, and manage multimillion-dollar research computing portfolios.
Strong communication skills and ability to interact effectively at all organization levels.
Broad IT experience including solutions architecture, application development, engineering, business analysis, and project management.

Job Responsibility

Lead the development and execution of a long-range strategic plan for research computing that supports the university’s R1 research mission, including investments in HPC, research storage, AI/ML environments, cloud platforms, secure data enclaves and staffing.
Collaborate with the Vice President for Research and IT, Deans, and faculty leaders to define institutional priorities, align resources, and support cutting-edge, interdisciplinary research initiatives.
Represent the University in national and international consortia focused on research computing infrastructure, research data governance, and secure research computing.
Serve as a strategic advisor to executive leadership on research policy, funding, and risk management related to advanced research computing.
Oversee Operations, performance, and lifecycle management of the University’s research computing environment, including HPC clusters and cloud platforms.
Lead cross-functional technical teams responsible for system design, user support, research application integration, and compliance with research security standards (e.g.NIST 800-171, FISMA)
Oversee service-level agreements, uptime metrics, downtime and maintenance procedures and communications and annual investment planning to ensure the environment remains resilient, scalable, and aligned with faculty needs.
Act as a campus-wide leader and trusted advisor to faculty and research teams across disciplines, proactively identifying research needs and aligning computational services accordingly.
Lead outreach, onboarding, and education programs that expand awareness of research computing services and improve access and usability for all research teams, especially those in emerging or underserved disciplines.
Oversee consultation and proposal development services that support grant applications, including effort related to compute budgeting, data management planning, and infrastructure letters of support.

Fulltime

Research Scientist

As an AI Research Scientist, you will conduct groundbreaking research on computa...

Location

United States , San Francisco

Salary:

Not provided

Chai Discovery

Expiration Date

Until further notice

Requirements

Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related field
Strong publication or project record in top ML or life-science venues (NeurIPS, ICML, Nature Methods, PLoS CB, J. Chem. Inf. Model., etc.)
Proficient in Python and deep-learning frameworks
Experience training and evaluating large models on protein, antibody, or small-molecule data, or demonstrably transferable ML expertise
Able to translate open-ended scientific questions into tractable modeling experiments
Skilled at wrangling large biological or chemical datasets, computing meaningful metrics, and visualizing results for diverse audiences
Enjoy working in cross-functional teams, aligning with wet-lab scientists, software engineers, and product leads
Clear communicator who can distill complex findings into next-step recommendations for both technical and non-technical stakeholders
Curious, ambitious, and comfortable iterating quickly on v0 ideas
Motivated by turning breakthrough research into real-world therapeutic impact

Job Responsibility

Conduct groundbreaking research on computational modeling for biological applications
Push the frontier of AI drug design

What we offer

Frontier technology: work on the technologies that promises to fundamentally change how new therapeutics are created
World-class people: work with world-renowned leaders in the AI x Biology ecosystem
Velocity and ownership: we move incredibly fast and liberally distribute ownership, which means continuous learning and career growth opportunities are guaranteed
Strong culture and mission: we foster a supportive culture that is mission-driven and high-energy
Highly competitive compensation: we attract the best talent and compensate them accordingly

Fulltime

Staff Bioinformatics Scientist - Genetics

The Staff Bioinformatics Scientist is largely self-driven, working in collaborat...

Location

United States , San Diego

Salary:

160000.00 - 240000.00 USD / Year

Exact Sciences

Expiration Date

Until further notice

Requirements

Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field
or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.
or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D.
8+ years of industry or academia experience in bioinformatics
6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry
Demonstrated experience in developing statistical and quantitative methods
Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics
Demonstrated expertise in product/assay research, design, or development
Basic computer skills to include Internet navigation, Email usage, and word processing
Proficient in Microsoft Office to include Excel, Word, and PowerPoint

Job Responsibility

Conduct comprehensive analyses within several product or technology areas and identify problems and discrepancies
Independently plan and develop algorithms
Independently develop, plan, and analyze results of experiments within several product or technology areas within defined timelines
effectively present and clearly communicate findings at data meetings, group meetings and project team meetings to inform and enable project progression
Critically analyze research/experimental data, interpret the results, and provide insights into the next steps and the direction of the project for successful outcomes
Contribute towards the development of timeline and plan for new assignments/study/projects
Provide technical guidance to junior scientists in project teams
Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment
Determine, utilize, and apply methods or technologies effectively and provide ideas for new techniques, when appropriate
Maintain knowledge of technological industry developments that could assist in completion of an assignment or aid in the development of new processes or procedures

What we offer

paid time off (including days for vacation, holidays, volunteering, and personal time)
paid leave for parents and caregivers
a retirement savings plan
wellness support
health benefits including medical, prescription drug, dental, and vision coverage
bonus eligible

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior Bioinformatics Scientist

Job Advert: Senior Bioinformatics Scientist. Our client is an emerging leader wi...

Location

United States , San Francisco

Salary:

170000.00 - 190000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 3+ years of experience developing production-level bioinformatics pipelines
Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools
Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments
Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing
Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda)
Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows
Expertise in Git/GitHub and Linux shell scripting for version control and automation
Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit)
Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing
Strong communication skills and ability to write clean, maintainable, production-ready code

Job Responsibility

Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments
Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions
Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs
Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights
Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration
Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients

What we offer

Competitive Compensation: Highly competitive remuneration
Generous Time Off: 4 weeks paid time off + 10 paid holidays
Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage
Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership
Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability
Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers
Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth

Fulltime

Scientist – Research Computational Biology

Amgen

Location:
India , Hyderabad

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 18, 2025

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