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Entry Level Data Scientist Biology Jobs (NOW HIRING)

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ... CITY RESEARCH SCIENTIST - 21744 Qualifications 1. For Assignment Level I (only physical, biological ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ... CITY RESEARCH SCIENTIST - 21744 Qualifications 1. For Assignment Level I (only physical, biological ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ... CITY RESEARCH SCIENTIST - 21744 Qualifications 1. For Assignment Level I (only physical, biological ...

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, engineering, physical/biological sciences, or geographic information systems (GIS ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.). * At ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

Epigenetics and biological aging clocks * Clinical and phenotypic datasets * Survey data ... Translating scientific goals into computational tools and workflows * Participating in project ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience * Experience applying machine learning ...

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Entry Level Data Scientist Biology information

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$122.7K

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

As of Aug 13, 2026, the average yearly pay for entry level data scientist biology 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.

Can I get an entry level data scientist biology job with no experience?

Entry level data scientist biology positions often require some foundational knowledge in biology and data analysis tools like Python or R. While prior experience is beneficial, candidates with relevant coursework, internships, or strong analytical skills can qualify, especially if they demonstrate proficiency in data handling and statistical methods. Building a portfolio of projects or earning certifications can improve chances for those with limited experience.

What types of projects and collaborations can an entry level data scientist in biology expect during their first year?

As an Entry Level Data Scientist in Biology, you will typically work on projects involving the analysis of large biological datasets, such as genomic sequences or clinical trial data. You can expect to collaborate closely with biologists, bioinformaticians, and senior data scientists to interpret results and design experiments. Early responsibilities often include data cleaning, implementing statistical models, and visualizing findings to support research objectives. The role offers valuable exposure to interdisciplinary teamwork and the chance to learn cutting-edge analytical techniques that support scientific discovery.

Can I be an entry level data scientist biology with a biology degree?

An entry-level data scientist in biology can often have a background in biology, but gaining skills in programming languages like Python or R, data analysis, and machine learning is essential. Relevant experience with data tools, statistical methods, and possibly certifications can improve job prospects in this field.

What does an entry level data scientist in biology do?

An Entry Level Data Scientist in Biology applies data analysis, statistical modeling, and machine learning techniques to biological data sets. They work with large datasets from experiments, clinical trials, or genomic studies to uncover patterns and insights that advance biological research. Typical tasks include cleaning and organizing data, writing code to analyze results, and collaborating with biologists to interpret findings. This role often requires knowledge of programming languages like Python or R and an understanding of biological concepts.

What are the key skills and qualifications needed to thrive as an entry level data scientist in biology?

To thrive as an Entry Level Data Scientist in Biology, you need a solid grounding in biological sciences, statistics, and data analysis, often supported by a relevant degree in biology, bioinformatics, or data science. Familiarity with programming languages (such as Python or R), data visualization tools, and experience with bioinformatics platforms or databases are typically required. Attention to detail, problem-solving, and strong communication skills are vital for interpreting complex datasets and collaborating with interdisciplinary teams. These skills and qualities are critical for extracting meaningful insights from biological data, driving research, and supporting data-driven decision-making.
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What cities are hiring for Entry Level Data Scientist Biology jobs? Cities with the most Entry Level Data Scientist Biology job openings:
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Entry Level Data Scientist Biology jobs near you
Infographic showing various Entry Level Data Scientist Biology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Annapolis Junction, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

A little about us:
 Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:

The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

This role is hands-on across all areas as a data scientist; from understanding customer requirements and collecting data, to developing visualizations and advanced analytics to make data-driven recommendations and decisions. You will work directly with intel analysts to develop prototypes and novel solutions that satisfy complex operational needs. 
  
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.

All of our data scientists need the following skills:     

  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:     

  • Large dataset experience
  • Strong familiarity with data science applications such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic).
  • Training in the design and implementation of static and dynamic visualizations in R, Python, Tableau, or similar visualization software.

These are important skills to have, but not necessarily mandatory:     

  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience or exposure to Natural Language Processing (NLP).
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight! 
     

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