Genomic Data Scientist Genetics and Genomics – San Francisco, CA

Are you a data-driven expert with a passion for unlocking insights from complex biological data? We are seeking a Genomic Data Scientist to join a cutting-edge research and development team based in San Francisco, CA. This is a unique opportunity to apply advanced computational methods to drive breakthroughs in genetics and genomics. If you’re excited by the potential of data science to transform human health and eager to work in a collaborative, fast-paced environment, we want to hear from you.

Drive Innovation in Precision Medicine and Genomics

A leading biotech organization in San Francisco, CA is seeking a Genomic Data Scientist to contribute to transformative research in genetics and personalized medicine. The ideal candidate will have a strong background in bioinformatics, statistics, and machine learning, along with experience working with large-scale genomic datasets. If you’re ready to tackle some of the most complex challenges in genomics and help shape the future of healthcare, this role offers the perfect platform to make a meaningful impact.

Key Responsibilities of the Genomic Data Scientist – Genetics and Genomics

Genomic Data Analysis & Interpretation:
Design, develop, and implement advanced computational models and algorithms to analyze large-scale genomic, transcriptomic, and other multi-omics datasets. Extract meaningful biological insights to support research and clinical decision-making.

Collaborative Research & Development:
Work closely with cross-functional teams including geneticists, biologists, and clinicians to translate complex genomic data into actionable knowledge. Support the design and validation of experiments and help drive innovation in genomics-driven solutions.

Machine Learning & Statistical Modeling:
Apply state-of-the-art machine learning, statistical, and bioinformatics techniques to identify genetic variants, biomarkers, and disease associations. Continuously improve data processing pipelines to enhance accuracy and scalability.

Data Integration & Management:
Integrate heterogeneous datasets from multiple sources such as sequencing platforms, clinical records, and public databases. Ensure data quality, integrity, and reproducibility by implementing robust data management practices.

Tool & Pipeline Development:
Develop, maintain, and optimize bioinformatics tools and data analysis pipelines to streamline genomic workflows. Facilitate automation to accelerate discovery and reduce time to insights.

Scientific Communication & Reporting:
Prepare comprehensive reports, visualizations, and presentations to communicate findings to scientific teams, stakeholders, and external collaborators. Contribute to publications and grant proposals as needed.

Compliance & Ethical Standards:
Adhere to regulatory guidelines, data privacy laws, and ethical standards related to human genomic data usage. Ensure responsible handling and sharing of sensitive information.

Continuous Learning & Innovation:
Stay current with emerging trends and technologies in genomics, bioinformatics, and computational biology. Proactively propose new methods or improvements to enhance the organization’s genomic research capabilities.

What the Client is Looking for in You

As a Genomic Data Scientist specializing in Genetics and Genomics, the client seeks a highly skilled and innovative professional who excels at translating complex biological data into actionable insights. You should be a detail-oriented scientist with strong analytical capabilities, eager to advance precision medicine through cutting-edge genomic research and data science.

Expertise in Genomics and Bioinformatics

The client is looking for a candidate with a solid foundation in genomics, bioinformatics, and computational biology. You should have proven experience handling large-scale genomic datasets, applying statistical models, and developing algorithms that reveal meaningful patterns in genetic data. Experience with next-generation sequencing (NGS) data and multi-omics integration is highly valued.

Innovative Problem Solver and Strategic Thinker

You must demonstrate the ability to design and implement novel data-driven solutions to address complex biological questions. The ideal candidate thrives on solving challenging problems using machine learning, statistical genetics, and bioinformatics tools. The client values professionals who anticipate emerging trends in genomics and proactively adapt their approaches to stay ahead.

Strong Computational and Analytical Skills

A deep proficiency in programming languages such as Python, R, or similar, alongside expertise in data visualization and pipeline automation, is essential. The client seeks someone who can efficiently manage data workflows, ensure reproducibility, and optimize computational resources while maintaining scientific rigor.

Collaborative Team Player with Excellent Communication

You will work alongside geneticists, clinicians, and other interdisciplinary researchers, so strong communication skills and a collaborative mindset are critical. The ability to clearly present complex genomic findings to both scientific and non-technical stakeholders will set you apart.

Commitment to Ethical Standards and Data Privacy

Given the sensitivity of genomic data, the client expects a strong commitment to ethical research practices, data privacy, and regulatory compliance. You should be familiar with relevant guidelines and best practices to responsibly handle human genetic information.

Passion for Advancing Human Health

Finally, the client seeks a dedicated professional passionate about leveraging genomic data science to drive discoveries that improve patient outcomes and shape the future of personalized medicine.

FAQs About the Role – Genomic Data Scientist – Genetics and Genomics

What are the key responsibilities of the Genomic Data Scientist in this role?
You will be responsible for analyzing large-scale genomic and multi-omics datasets, developing computational models, and applying machine learning techniques to extract biological insights. Collaboration with interdisciplinary teams to translate data into actionable knowledge and developing bioinformatics pipelines will also be central to your role.
What qualifications and experience are required for this position?
The ideal candidate should have a strong background in genomics, bioinformatics, or computational biology, with hands-on experience working with next-generation sequencing (NGS) data and statistical modeling. Proficiency in programming languages like Python or R, and familiarity with machine learning methods are essential. A graduate degree (Master’s or PhD) in a relevant field is typically preferred.
What technical skills are essential for this role?
You should be skilled in data analysis, statistical genetics, and bioinformatics tool development. Experience with data integration, pipeline automation, and visualization tools is important. Familiarity with cloud computing and database management is a plus.
What challenges can I expect in this role?
Working with large, complex biological datasets presents challenges such as ensuring data quality, managing computational resources, and developing reproducible workflows. You will also need to stay current with rapidly evolving genomics technologies and balance innovation with regulatory and ethical constraints.
How does this role contribute to the company’s goals?
Your work will directly support the discovery of genetic markers and therapeutic targets, accelerating advances in personalized medicine. By generating actionable insights from genomic data, you will help the company develop novel diagnostics and treatments that improve patient outcomes.
What is the company culture and work environment like?
The company values innovation, collaboration, and scientific excellence in a fast-paced and supportive environment. You will be part of a diverse team of experts committed to advancing human health through cutting-edge genomic research.

What Remuneration Can You Expect from This Job?

As a Genomic Data Scientist specializing in Genetics and Genomics based in San Francisco, CA, you can expect a competitive compensation package that reflects your expertise in this rapidly evolving field. The remuneration typically includes:

Base Salary

The base salary for a Genomic Data Scientist varies depending on experience, educational background, and the size and stage of the organization. For mid-level to senior data scientists in genomics, annual base salaries generally range from $110,000 to $160,000, with highly experienced professionals or those in leadership roles potentially earning more.

Performance-Based Bonuses

Many companies offer annual bonuses based on individual performance, project milestones, or company success. These bonuses typically range from 10% to 25% of the base salary, rewarding your contributions to scientific innovation and data-driven decision-making.

Equity & Stock Options

Genomics companies, especially startups and biotech firms, often provide equity compensation such as stock options or restricted stock units (RSUs). These incentives align your interests with company growth and offer significant long-term financial upside if the company succeeds.

Long-Term Incentive Plans (LTIPs)

Some organizations offer LTIPs that reward sustained contributions over multiple years. These plans encourage commitment to long-term research goals and innovation pipelines, providing additional financial rewards linked to company performance.

Comprehensive Benefits & Perks

Typical benefits include:

Health, dental, and vision insurance
401(k) retirement plans with employer matching
Paid time off and flexible work arrangements
Professional development allowances and conference attendance support
Wellness programs and employee assistance plans

Signing Bonuses & Relocation Assistance

For highly qualified candidates or those relocating to San Francisco, companies may offer signing bonuses and relocation packages to ease the transition. These incentives vary widely but can be substantial depending on the candidate’s experience and the company’s budget.

Total Compensation Potential

Considering base salary, bonuses, equity, and benefits, total compensation for a Genomic Data Scientist in San Francisco typically ranges from $130,000 to $200,000 or more annually. In fast-growing biotech companies or leadership positions, compensation can be significantly higher, reflecting your critical role in advancing genomic science and personalized medicine.

How to Apply

If you are a skilled and innovative Genomic Data Scientist with expertise in Genetics and Genomics, we invite you to apply for this exciting opportunity based in San Francisco, CA. This role offers the chance to work at the forefront of genomic research, data analytics, and personalized medicine within a dynamic and collaborative environment.

To apply, please submit your resume along with a cover letter that highlights your experience in genomic data analysis, bioinformatics, statistical modeling, and interdisciplinary collaboration. Be sure to emphasize your contributions to genomic research projects, proficiency with relevant computational tools, and your ability to translate complex data into actionable insights.

This position is ideal for candidates who thrive in a fast-paced, scientific setting and want to contribute meaningfully to advancements in genetics and healthcare. Apply today to advance your career as a Genomic Data Scientist and be part of a cutting-edge team driving innovation in genomics.

For more information or to explore similar roles in genomics and biotechnology, please visit our Genetics and Genomics Recruiting page.

Job Category: Genetics and Genomics

Job Type: Full Time

Job Location: San Francisco

Genomic Data Scientist Genetics and Genomics – San Francisco, CA