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Remote Genomics Data Scientist Jobs (NOW HIRING)

REMOTE - Data Scientist

$101.54K - $175.73K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations ...

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Data Scientist Join to apply for the Data Scientist role at DataAnnotation . We are looking for a ... Benefits Full‐time or part‐time remote position Choose which projects you want to work on Work ...

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Overview We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Data Scientist

Hartford, CT · On-site +1

$90.16K - $135.24K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

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Remote Genomics Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote genomics data scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for remote 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 as a Remote Genomics Data Scientist, and why are they important?

To thrive as a Remote Genomics Data Scientist, you need a strong background in bioinformatics, statistics, and genomics, typically supported by an advanced degree in a relevant field. Proficiency with programming languages such as Python or R, experience with genomic data analysis tools (e.g., GATK, Bioconductor), and cloud-based data platforms are essential. Excellent problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with interdisciplinary teams. These skills ensure accurate analysis, meaningful insights, and successful remote collaboration on cutting-edge genomics projects.

How does a Remote Genomics Data Scientist typically collaborate with cross-functional research teams?

As a Remote Genomics Data Scientist, collaboration often happens through virtual meetings, shared code repositories, and cloud-based data platforms. You'll regularly interact with bioinformaticians, laboratory scientists, and clinicians to define research questions, interpret genomic data, and ensure data analysis aligns with study goals. Effective communication is key, as you'll translate complex results for non-technical stakeholders and coordinate project timelines across different locations and time zones.

What is a Remote Genomics Data Scientist?

A Remote Genomics Data Scientist is a professional who analyzes and interprets large-scale genetic data, such as DNA sequencing, using computational and statistical methods, while working from a remote location. Their work often involves using bioinformatics tools and machine learning to identify patterns and insights in genomic datasets. This role supports research in healthcare, pharmaceuticals, and biotechnology, helping to advance personalized medicine and disease understanding. Remote Genomics Data Scientists collaborate with multidisciplinary teams and often communicate findings through reports and visualizations.

What is the difference between Remote Genomics Data Scientist vs Remote Bioinformatics Analyst?

AspectRemote Genomics Data ScientistRemote Bioinformatics Analyst
Required CredentialsMaster's or PhD in Genetics, Bioinformatics, or related field; experience with genomics data analysisBachelor's or Master's in Bioinformatics, Biology, or related; familiarity with bioinformatics tools
Work EnvironmentResearch labs, biotech companies, or healthcare organizations focusing on genomicsResearch institutions, healthcare, or biotech firms analyzing biological data
Industry UsagePrimarily in genomics research, personalized medicine, and biotechIn bioinformatics projects across healthcare, agriculture, and research

Remote Genomics Data Scientists focus on analyzing genomic data to uncover biological insights, often requiring advanced degrees and specialized skills. Remote Bioinformatics Analysts handle biological data analysis but may have a broader scope, including various biological datasets. Both roles are vital in biotech and healthcare industries, but the Genomics Data Scientist typically emphasizes genomic-specific expertise.

More about Remote Genomics Data Scientist jobs
What cities are hiring for Remote Genomics Data Scientist jobs? Cities with the most Remote Genomics Data Scientist job openings:
What are the most commonly searched types of Genomics Data Scientist jobs? The most popular types of Genomics Data Scientist jobs are:
What states have the most Remote Genomics Data Scientist jobs? States with the most job openings for Remote Genomics Data Scientist jobs include:
Infographic showing various Remote Genomics Data Scientist job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 2% Physical, and 98% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
REMOTE - Data Scientist

$101.54K - $175.73K/yr

Full-time

Retirement

Posted 17 days ago


Job description

Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.
Location: Cincinnati OR Remote
Travel Required: 2-3 times yearly
Job Summary
The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition.As a Data Scientist, you'll impact the organization by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions.
WhatYou'llDo
  • In this role, you'll work with a cross-functional team to enhance PatientPoint's durable provider growth strategy.
  • You'll be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment.
  • To be successful, you'll develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals.
  • To stay organized, you'll work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs) .
  • To maximize impact, you'll proactively share insights with your cross-functional collaborators and data science team.

What We Need
  • Bachelorsdegree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor a related field.
  • 2+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders.
    • Candidates will be asked to provide examples from theirprevious experienceand/or complete aprojectusing analytics to create actionable insights.
  • Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration.
  • Strong working knowledge of machine learning and data science methods including model training, model validation and selection, backtesting, and statistical testing.
  • Experience taking models from development to production, monitoring performance, and iteratively improving over time.
  • Strong communicationskills and a collaborative attitude for working with stakeholders.

Desired Qualifications
  • Masters or doctoral degree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor a related field.
  • Professional experience in healthcare, pharmaceutical,and digital advertising industries.
  • Strong grasp of MLOps practices and software engineering principles.
  • Experience with Snowflake, Airflow, HEX, Cursor, Claude Code.

What You'll Need to Succeed
  • Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them.
  • Highly self-motivated and self-directed.
  • Critical thinking with the ability toidentifyand scope and solve ambiguous problems in a fast-paced environment.
  • The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not onlypresenting the data but also explaining the insights in a context that resonates withtheaudience.
  • Strong interpersonal,communication,and consulting skills. Ability toestablishand maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and business stakeholders.
  • Enthusiasm for responding to a dynamic range of questions and analytical challenges.

Base Salary Band: $101,542 - $175,732
Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint's total compensation package for employees. For additional details on our total benefits package, please review the section "About PatientPoint" at the end of this job description.
About PatientPoint:PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery ofbehavior-changing content at critical moments of care. As the nation's largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and healthbrands with relevant information that is proven to drivehealthier decisions and better outcomes. Learn more atpatientpoint.com.
Latest News & Innovations:
  1. Why is PatientPoint a Best Place to Work! Read More
  2. Teammate Honored as "Top Woman in Tech". Read More
  3. Recognized on Vault's Top Internship List. Read More

What We Offer:
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.
PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V