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Entry Level Genomics Data Scientist Jobs (NOW HIRING)

Roberts Recruiting

Data Scientist

Cambridge, MA

... in genomics, data analytics, clinical testing and patient focus to quickly innovate and penetrate ... Job Purpose We are seeking a data scientist who is interested in helping to build and scale genome ...

GRAIL

Senior Data Scientist # 4630

Menlo Park, CA

$187K/yr

In this role, you will work at the intersection of machine learning, genomics, and clinical science ... Strong expertise in data analysis using Python or R * Deep understanding of modern machine learning ...

GRAIL

Senior Data Scientist # 4630

Menlo Park, CA · On-site

$187K/yr

In this role, you will work at the intersection of machine learning, genomics, and clinical science ... Strong expertise in data analysis using Python or R > * Deep understanding of modern machine ...

GRAIL

Senior Data Scientist # 4630

Menlo Park, CA

$187K/yr

In this role, you will work at the intersection of machine learning, genomics, and clinical science ... Strong expertise in data analysis using Python or R * Deep understanding of modern machine learning ...

NewLimit

Data Scientist

South San Francisco, CA · On-site

$130K - $170K/yr

We leverage functional genomics, pooled perturbation screening, and machine learning models to ... Description NewLimit is seeking a Data Scientist to join our Predict team. In this role, you will ...

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Entry Level Genomics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entry level genomics data scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for entry level 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 is the difference between Entry Level Genomics Data Scientist vs Entry Level Bioinformatics Analyst?

AspectEntry Level Genomics Data ScientistEntry Level Bioinformatics Analyst
Required CredentialsBachelor's in Bioinformatics, Genetics, or related field; some roles prefer internshipsBachelor's in Bioinformatics, Biology, or related field; similar certifications
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, academic settings
Industry UsageGenomics research, personalized medicine, biotech developmentGenomics, molecular biology, clinical research
Common Search/ComparisonYesYes

Both roles require similar educational backgrounds and work in genomics-related environments. The main difference is that a Genomics Data Scientist focuses more on analyzing large genomic datasets and developing models, while a Bioinformatics Analyst often performs data processing and interpretation tasks. Understanding these distinctions helps job seekers identify the best fit for their skills and career goals.

More about Entry Level Genomics Data Scientist jobs
What cities are hiring for Entry Level Genomics Data Scientist jobs? Cities with the most Entry Level 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 job categories do people searching Entry Level Genomics Data Scientist jobs look for? The top searched job categories for Entry Level Genomics Data Scientist jobs are:
Entry Level Genomics Data Scientist jobs near you
Infographic showing various Entry Level Genomics Data Scientist job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Roberts Recruiting

Cambridge, MA

Other

Posted 11 days ago

Job description

Our mission is to create technologies that unlock the power of affordable precision medicine. If that
inspires you, let's talk. We are a startup company with a plan to disrupt the clinical testing market. Our focus is on building NGS diagnostic and software solutions from the ground up, leveraging experiences in genomics, data analytics, clinical testing and patient focus to quickly innovate and penetrate the market. If you thrive in a brilliant, fast-paced, and mission-driven environment, this is the place for you!
Job Purpose
We are seeking a data scientist who is interested in helping to build and scale genome technology software
products with application to clinical diagnostics driven by statistical data discovery. The applicant will be
responsible for developing new algorithms for data analysis, and providing computational support for our core technology and product development. This exceptional opportunity offers the chance to support research and development efforts at the forefront of genomic and cellular understanding of cancer, as well as statistical analysis, big data and cloud development. The successful candidate will have the opportunity to innovate and build new bioinformatic products from basic data scaling to big data discovery. Many of the algorithm developments require novel use of data by applying current and emerging machine learning techniques.
Responsibilities
  • Understand and explore data patterns.
  • Discover new statistical ways to interpret data.
  • Deep understanding of statistical methods including but not limited to Bayes' theorem, Hidden Markov Model, etc.
  • Translate product ideas into defined data science challenges and solve them.
  • Design and deploy algorithms and machine learning systems backing product development.
  • Assist with big data analysis implementation and cluster computation including but not limited to Celery, Hadoop, Spark, etc.
  • Help optimize software performance and improve algorithm accuracy.

Qualifications.
  • PhD or Masters in Data Science, Computer Science, Engineering, Physics, Mathematics or other scientific field of study. (PhD preferred)
  • Proven relevant experience in data analytics (does not need to be in bioinformatic field).
  • Proficiency in Python for numerical/statistical programming including Numpy, Pandas and standard machine learning libraries.
  • Possess strong analytical and problem solving skills.
  • Willingness to work hard and be creative in a fast-paced environment.
  • Able to work both independently and collaboratively with colleagues.
  • Capable of working in a team environment with good communication.

Apply