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Assistant 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 ... Design and deploy algorithms and machine learning systems backing product development. * Assist ...

Biohub

Staff Data Scientist, Genomics

Redwood City, CA · On-site +1

We're looking for a data scientist with deep expertise in genomics (e.g., bulk and single-cell sequencing, functional genomics, CRISPR screens), who thinks creatively about data representation and ...

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 ...

Baylor Genetics

Lead Bioinformatics AI Scientist

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

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 ...

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

As of May 29, 2026, the average yearly pay for assistant genomics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant Genomics Data Scientist, and why are they important?

To thrive as an Assistant Genomics Data Scientist, you need a background in bioinformatics, statistics, and molecular biology, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with genomic databases, and knowledge of tools like BLAST and GATK are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These competencies are essential for accurately analyzing genomic datasets and translating findings into actionable scientific insights.

What are some common challenges faced by Assistant Genomics Data Scientists when working with large-scale genomic datasets?

Assistant Genomics Data Scientists often encounter challenges related to managing and analyzing massive genomic datasets, which can require specialized computational tools and robust data storage solutions. Ensuring data quality and integrity while dealing with issues such as missing values, sequencing errors, or inconsistent formats is also common. Additionally, collaborating with interdisciplinary teams of biologists, clinicians, and senior data scientists requires strong communication skills to translate complex findings into actionable insights. Adapting to rapidly evolving technologies and staying current with best practices in bioinformatics is essential for success in this role.

What does an Assistant Genomics Data Scientist do?

An Assistant Genomics Data Scientist supports research and analysis by managing, processing, and interpreting large-scale genomic datasets. They use bioinformatics tools, statistical methods, and programming languages such as Python or R to help identify patterns and insights in genetic data. Their work often contributes to projects in healthcare, pharmaceuticals, or academic research, assisting senior scientists in making sense of complex biological information. Additionally, they may help maintain data pipelines and ensure the quality and integrity of genomic databases.
What cities are hiring for Assistant Genomics Data Scientist jobs? Cities with the most Assistant 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 Assistant Genomics Data Scientist jobs? States with the most job openings for Assistant Genomics Data Scientist jobs include:
Assistant Genomics Data Scientist jobs near you
Data Scientist

Data Scientist

Roberts Recruiting

Cambridge, MA

Other

Posted 9 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.

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