Remote Genomics Data Scientist

Shape the Future of Genomic Discovery—From Anywhere

Do you find patterns where others see noise? Here’s your chance to unlock insights hidden within terabytes of sequencing data—on your own terms, in a role that values innovation and flexibility as much as precision. As a Remote Genomics Data Scientist, your work won’t just parse datasets—it will directly shape diagnostic breakthroughs, drive research that impacts lives globally, and accelerate discoveries in personalized medicine.

Your Mission & Core Impact

Imagine harnessing cloud-based genomics platforms to power research projects that transform patient outcomes. You’ll architect pipelines that turn raw genetic code into actionable knowledge, guiding research teams and clinicians through every step of the data journey. Your analyses will empower pharmaceutical partners to fast-track therapies and enable universities to launch world-class studies—all from your remote workspace.

What Success Looks Like

Success in this role means more than writing algorithms or crunching numbers. You’ll create reproducible, scalable workflows that simplify complexity for collaborators worldwide. Whether you’re deploying machine learning models to spot rare variants or translating technical results into clear guidance for biologists, your expertise will spark innovation at every turn. You make the difficult approachable, no matter the audience—whether it’s a research fellow in a Slack thread or a project lead reviewing a shared dashboard.

Key Responsibilities

• Build, optimize, and maintain bioinformatics pipelines for large-scale NGS data, including whole genome, exome, and RNA sequencing.
• Apply advanced statistical models and machine learning approaches to uncover novel patterns and biological markers.
• Deliver data-driven recommendations to interdisciplinary partners—biostatisticians, clinicians, engineers, and business teams—translating findings into project milestones and research priorities.
• Ensure high standards for data quality, reproducibility, and regulatory compliance throughout each phase of analysis.
• Collaborate in code reviews and champion best practices for version control, workflow documentation, and scalable computing.
• Guide implementation of data visualization solutions that turn complex results into stories decision-makers can act on.
• Stay current with advancements in genomic analytics, cloud computing for omics, and evolving data privacy standards.

The Tools You’ll Master

You’ll feel right at home toggling between Python, R, and SQL, automating processes with Snakemake or Nextflow, and running analyses on AWS, Google Cloud, or Azure. You know your way around GATK, STAR, and other genomics toolkits, and you’re always eager to try the next thing, whether it’s a new machine-learning package or an AI-powered annotation platform. Version control isn’t just a box to check—it’s your roadmap to transparency and teamwork.

Your Approach to Problem-Solving

Here, deep curiosity is celebrated. When confronted with unexpected results, you dive in—scrutinizing assumptions, rerunning controls, and seeking out conversations with peers. You simplify the complicated, transforming unwieldy datasets into clarity, and always bring fresh eyes to recurring challenges. Your impact is felt through both technical mastery and your willingness to make your process visible to others.

Collaboration & Communication

Remote doesn’t mean distant. You’ll thrive in a digital-first workspace built on open feedback, regular syncs, and a genuine sense of belonging. Whether you’re co-authoring a manuscript in Overleaf, presenting at a virtual conference, or brainstorming on Miro, your presence is felt. You make the most of every collaboration tool—Zoom, Slack, Trello—to turn ideas into milestones. You simplify complex concepts, make your insights accessible, and create a ripple effect that uplifts every project you touch.

Experience & Background

• 3+ years working with large-scale genomics datasets in industry or academic settings
• Advanced proficiency in statistical programming (Python, R) and NGS data processing tools
• Deep experience designing and maintaining robust, scalable workflows for omics data
• Track record of translating analyses into impactful publications, presentations, or research decisions
• Genuine comfort collaborating across geographies and disciplines in a remote, asynchronous environment
• Knowledge of cloud-based data platforms, best practices in data privacy, and regulatory compliance (e.g., HIPAA, GDPR)

Growth, Learning & Support

Here, your growth is intentional. Mentorship isn’t just a buzzword—it’s part of your daily routine, with senior scientists and technical leads eager to share best practices and review your work. You’ll have access to workshops, journal clubs, and a generous professional development stipend. Your ideas matter, and your curiosity will always find encouragement, not barriers.

Compensation & Benefits

We believe expertise deserves recognition. This fully remote role offers an annual salary of $122,738, with additional performance-based bonuses. Enjoy flexible hours, comprehensive health coverage, paid learning days, and a home office stipend—so you can create an environment where you do your best thinking.

Ready to Transform Genomics—From Anywhere?

If you’re passionate about unraveling the mysteries hidden in DNA and want to empower research teams globally, let’s build the future of genomics together. Make a difference from wherever you are—your expertise belongs here.