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How much do genomics data scientist jobs pay per year?

As of Jun 27, 2026, the average yearly pay for genomics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Genomics Data Scientist position, and why are they important?

To thrive as a Genomics Data Scientist, you need a solid background in biology, bioinformatics, statistics, and programming—typically with an advanced degree in a relevant scientific field. Proficiency with tools such as Python, R, next-generation sequencing (NGS) analysis pipelines, and experience with cloud-based data platforms and genomics databases is highly valued, and certifications in data science or bioinformatics can be advantageous. Critical thinking, strong communication, and interdisciplinary teamwork skills distinguish those who excel in this collaborative and evolving field. These core and soft skills enable accurate analysis of complex genomic data, effective collaboration with scientific and technical teams, and meaningful contributions to biomedical research and healthcare innovation.

What are some common challenges that Genomics Data Scientists face in their daily work?

Genomics Data Scientists commonly face challenges such as handling massive and complex sequencing datasets, integrating information from various sources, and ensuring data quality and reproducibility. They often need to stay current with rapidly evolving bioinformatics tools and computational methods to interpret new types of genomic data. Collaborating across interdisciplinary teams—including biologists, clinicians, and software engineers—can require excellent communication and translation of technical insights into actionable results. Managing these challenges is rewarding, as it contributes directly to discoveries in medical research, diagnostics, and personalized medicine.

What is a Genomics Data Scientist job?

A Genomics Data Scientist analyzes large-scale genomic data to extract meaningful biological insights. They use statistical models, machine learning, and bioinformatics tools to study genetic variations, disease associations, and evolutionary patterns. Their work supports medical research, drug discovery, and precision medicine by translating complex genetic data into actionable knowledge. This role often involves coding in languages like Python or R, working with databases, and collaborating with biologists and clinicians.

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What cities are hiring for Genomics Data Scientist jobs? Cities with the most Genomics Data Scientist job openings:
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Genomics Data Scientist jobs near you
Infographic showing various Genomics Data Scientist job openings in the United States as of June 2026, with employment types broken down into 13% Full Time, and 87% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Scientist I - Single-cell Genomics and Bioinformatics

Scientist I - Single-cell Genomics and Bioinformatics

Allen Institute

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Scientist I - Single-cell genomics and bioinformatics - Molecular Genetics
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the AllenInstitute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling, and theory.
The Molecular Genetics department at the Allen Institute for Brain Science defines cell types in the mouse nervous system with single-cell genomics techniques and generates high-precision genetic tools to effectively identify, monitor, and manipulate distinct neuronal cell types.
We seek an exceptional Scientist I who will work in the Molecular Genetics department on analysis of single-cell transcriptomics and spatial transcriptomics data in the peripheral nervous system. The candidate should have an exceptionally strong background in bioinformatics and single-cell genomics. They will work closely with team members to analyze various types of single-cell genomics data to define neuronal types, interrogate functional connectivity, and help design genetic tools to access these cell types. This individual should be highly efficient, capable of working independently, and collaborative. This individual will be an excellent communicator, efficient in both independent work and collaborations with others.
At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
  • Support initiatives across the Allen Institute for Brain Science, Allen Institute for Neural Dynamics and Allen Institute for Immunology to create reference atlases for cells in the peripheral nervous system using single-cell genomic data
  • Apply and adapt existing computational and experimental approaches to integrate gene expression and epigenetic information from a variety of single-cell genomic datasets
  • Collaborate with team members to interpret biological findings from data and contribute ideas for follow-up experiments, gaining independence and autonomy over time
  • Learn and apply analytical methods for defining cell types and predicting enhancer activity from single-cell data and for supporting the development of genetic tools that mark distinct functional or anatomical cell types
  • Contribute to computational method development for single-cell genomics, under the guidance of team leads
  • Present research findings regularly to internal team members and stakeholders; contribute to the preparation of manuscripts, grant proposals, and external presentations

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
Required Education and Experience
  • Ph.D. in Bioinformatics, Genomics, Neuroscience or related field; or equivalent combination of degree and experience
  • Demonstrated experience with single-cell genomics analysis or large-scale data analysis
  • Proficiency in programming languages and tools (R, Python, cloud computing)
  • Proficiency in AI tool use, and interest in AI tool development

Preferred Education and Experience
  • Experience in reproducibly analyzing large single-cell and spatial genomics (transcriptomics, epigenomics, proteomics) datasets
  • Experience integrating spatial data with single-cell genomics approaches
  • Ability to work independently and within a collaborative, multi-disciplinary environment to meet demanding timelines
  • Positive attitude, self-motivated, and demonstrated ability to creatively troubleshoot
  • Proven strong publication record
  • Knowledge of mouse molecular genetics, neuroscience, and neuroanatomy
  • Exceptional oral and written communication and organizational skills

Physical Demands
  • Fine motor movements in fingers/hands to operate computers and other office equipment

Position Type/Expected Hours of Work
  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.

Travel
  • Attendance and participation in national and international conferences is required

Additional Comments
  • **Please note, this opportunity offers relocation assistance**
  • **Please note, this opportunity may offer work visa sponsorship**

Annualized Salary Range
  • $86,500 - $106,100

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.
Benefits
  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institute's Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

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