Senior Scientist – Research Computational Biology Job at Amgen

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

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

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 / Principal Machine Learning Scientist

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

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / 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
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
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
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior Scientist – Research Computational Biology Platforms

The ARIA Computational Biology team is seeking a talented and creative computati...

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong programming expertise in Python and R, with proficiency in Linux/Unix environments, cloud computing, HPC, and collaborative development practices (e.g., Git)
Experience developing complex computational tools and visualizations that translate biological insights into actionable strategies
Experience developing and deploying computational tools and pipelines, including use of workflow management systems (e.g., Nextflow), CI/CD practices, and interactive visualization tools (e.g., Shiny/Streamlit)
Strong background in molecular and systems biology
Demonstrated expertise in the analysis and interpretation of single-cell omics data
Experience leveraging and fine-tuning transcriptional foundation models, large language models (LLMs), and biomedical knowledge graphs to advance research objectives
Familiarity with high-value public data resources (e.g., DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) used to complement and enhance analyses of internal datasets

Job Responsibility

Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities
Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas
Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team
Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts
Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms
Training and mentoring other scientists in the use of advanced research tools and 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 where possible

Fulltime

Senior Scientist – Research Computational Biology (ARIA)

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

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong background in cardiometabolic disease and/or immunology, including applications in the interpretation of single-cell data
Proficient in extracting actionable mechanistic insights from complex biological datasets through development and creative application of AI/ML-based analytical strategies
Strong programming skills (Python, R, Linux/Unix) and experience with cloud computing environments, HPC, and collaborative coding practices (e.g., Git)
Track record of designing and executing creative and holistic computational strategies to address challenging research questions
Proven expertise in the analysis and interpretation of single-cell omics data
Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences
Self-motivated, collaborative, and committed to continuous learning and growth

Job Responsibility

Deriving biological insight from complex multi-modal omics and perturbation screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses
Conducting innovative, collaborative research in close partnership with Amgen therapeutic area scientists and our Discovery Sciences, Advanced Technologies, and AI (DATA) team, spanning discovery platforms, internal pipeline programs, and external partnerships

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 where possible

Fulltime

Senior Director – BioIntelligence

The AI & Data for Engineered Biologics (AIDE) organization at Amgen is seeking a...

Location

United States , Thousand Oaks

Salary:

239775.00 - 295217.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 5 years of experience applying machine learning or computational modeling to biological systems
OR Master’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 9 years of experience applying machine learning or computational modeling to biological systems
OR Bachelor’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 11 years of experience applying machine learning or computational modeling to biological systems
At least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources

Job Responsibility

Lead the BioIntelligence Team within our Large Molecule Discovery organization, defining strategy and priorities for AI-driven biologics modeling
Develop and execute a roadmap for machine learning and AI approaches that accelerate engineered biologics discovery
Align BioIntelligence capabilities with broader Research and Large Molecule Discovery priorities
Oversee development of predictive models for key biologics properties, including developability, stability, manufacturability, and immunogenicity
Advance modeling approaches using modern AI techniques such as: protein language models
generative modeling and inverse folding
representation learning
active learning and Bayesian optimization
Guide the use of multimodal biological datasets including sequence, structure, and experimental assay data
Lead development of production-quality research software and deployable ML models used across discovery teams

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 where possible

Fulltime

Target Validation Sr Director

This research based Senior Director role will be responsible for building, leadi...

Location

United States , South San Francisco

Salary:

265405.00 - 312459.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree PhD in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant discipline and 7 years of scientific leadership experience in biotech, pharma or equivalent research environments
OR Master’s degree in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant discipline and 10 years of scientific leadership experience in biotech, pharma or equivalent research environments
OR Bachelor’s degree in biochemistry, cell biology, molecular biology, computational biology, immunology, oncology, metabolism or a relevant disciplineand 12 years of scientific leadership experience in biotech, pharma or equivalent research environments

Job Responsibility

Lead and develop a multidisciplinary organization of ~25 scientists within Research Biology
Integrate diverse experimental disciplines and workflows to ensure coordinated execution and efficient delivery of novel molecular insights
Establish platform priorities, resource allocation, and capacity planning in alignment with Research Biology and Therapeutic Area priorities
Define clear roles, responsibilities, and seamless handoffs across teams and partnering organizations
Drive adoption of automated experimental workflows, and integration of AI/ML to enable efficient experimentation across programs
Serve as a senior scientific partner to Target Discovery and Therapeutic Areas
Set clear expectations and enable scientists with diverse skill sets to collaborate effectively and contribute to early research pipeline
Serve as a core member of Target Discovery Advisory Forum, and play a key role in target discovery, validation and prioritization. Engage, influence, and align therapeutic area stakeholders
Guide team members in synthesizing and communicating complex scientific and data-driven insights to key stakeholders and advisory forum
Contribute to fostering a highly collaborative, creative, dynamic and cutting-edge research environment

What we offer

competitive benefits
collaborative culture
health and welfare plans for staff and eligible dependents
financial plans with opportunities to save towards retirement or other goals
work/life balance
career development opportunities
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts

Fulltime

Senior Scientist – Research Computational Biology

Amgen

Location:
United States

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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