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Trainee Biotech Data Science Jobs in Massachusetts

Data Scientist

Worcester, MA · On-site

$96K/yr

Masters in Data Engineering, Data Science or related * Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming, including Python, SQL, etc. * Experience with ...

Masters in Data Engineering, Data Science or related * Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming, including Python, SQL, etc. * Experience with ...

Masters in Data Engineering, Data Science or related * Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming, including Python, SQL, etc. * Experience with ...

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... As a mid-sized biotechnology company, we provide the stability and resources of a well-established ...

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... As a mid-sized biotechnology company, we provide the stability and resources of a well-established ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

... biotech or academic setting. Required Experience and Skills * Demonstrated expertise in the ... Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data ...

New

$194K - $305K/yr

... biotech or academic setting.Required Experience and Skills:Extensive experience applying ... Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

$159K - $251K/yr

... biotech or academic setting.Required Experience and Skills:Demonstrated expertise in the ... Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data ...

New

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Showing results 1-20

Trainee Biotech Data Science information

What is the difference between Trainee Biotech Data Science vs Junior Biotech Data Analyst?

AspectTrainee Biotech Data ScienceJunior Biotech Data Analyst
Required CredentialsBachelor's in biotech, data science, or related fieldBachelor's in biotech, life sciences, or related field
Work EnvironmentResearch labs, biotech companies, data-focused projectsBiotech firms, research institutions, data reporting
Industry UsageData science, machine learning, bioinformaticsData analysis, reporting, data management
Common Search/ComparisonYesYes

The Trainee Biotech Data Science role focuses on applying data science and bioinformatics techniques within biotech settings, often involving machine learning and programming. In contrast, a Junior Biotech Data Analyst primarily handles data reporting and basic analysis. Both roles require a background in biotech or related fields, but the data science trainee emphasizes advanced data modeling, while the analyst concentrates on data interpretation and reporting.

What are the most commonly searched types of Biotech Data Science jobs in Massachusetts?

The most popular types of Biotech Data Science jobs in Massachusetts are:

What are popular job titles related to Trainee Biotech Data Science jobs in Massachusetts?

For Trainee Biotech Data Science jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Trainee Biotech Data Science jobs in Massachusetts look for?

The top searched job categories for Trainee Biotech Data Science jobs in Massachusetts are:

What cities in Massachusetts are hiring for Trainee Biotech Data Science jobs?

Cities in Massachusetts with the most Trainee Biotech Data Science job openings:

Infographic showing various Trainee Biotech Data Science job openings in Massachusetts as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist

AbbVie

Worcester, MA • On-site

$96K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical


Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
This is an exciting opportunity to work on a cross-functional team preparing data and enabling modeling activities in support of Product Development and Manufacturing Sciences organizations at AbbVie.
Within the Product Development laboratories, the objective is to partner with modeling SMEs and the Digital organization to prepare data from source systems and data lakes, and enable model execution for statistical, hybrid and mechanistic models, with the ultimate objective to streamline and automate the process from data collection through model execution in a "Lab-in-the-Loop" environment. This environment should enable end-to-end automation of laboratory data and modeling in a way that is accessible for all laboratory scientists to access. It should also provide an opportunity to gain a deep understanding of bioprocess data, and also to learn multivariate, hybrid and machine learning modeling in support of deeper scientific insights, and upholding the highest standards of quality and productivity.
Responsibilities:
  • Partner with Manufacturing Sciences, the objective is to compile, clean and feature engineer the same laboratory and commercial data sets for multivariate and hybrid "Digital Twin" process models,
  • Partner with the Digital organization to deliver end-to-end data pipelines, products, and models from successful proofs of concept.
  • Routinely demonstrate scientific initiative and creativity in research or development activities.
  • Highly autonomous and productive in performing laboratory research or method development, requiring only minimal direction from or interaction with supervisor.
  • Formulate conclusions and design follow-on experiments based on multidisciplinary data.
  • May initiate new areas of investigation that are scientifically meaningful, reliable, and can be incorporated directly into a research or development program.
  • A primary author of publications, presentations, regulatory documents and/or primary inventor of patents.
  • Demonstrates high proficiency across a wide range of relevant technologies.
  • Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug and radioactive compounds, GxP compliance, and animal care where applicable.

Qualifications
  • Bachelor's Degree or equivalent education and typically 10 years of experience, Master's Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.
  • Possess thorough theoretical and practical understanding of own scientific discipline.

Preferred Qualifications:
  • Masters in Data Engineering, Data Science or related
  • Prior experience in biotech or pharmaceuticals preferred
  • Strong experience in programming, including Python, SQL, etc.
  • Experience with standard cloud-based data lake infrastructure
  • Experience using source code management tools (e.g. GitHub)
  • Familiarity with data pipeline tools such as KNime, dbt, etc.
  • Familiarity with model management and pipeline tools preferred (ML Flow, DataBricks, etc.)
  • Familiarity or willingness to learn ServiceNow and support application owner and access review for data and modeling capabilities
  • Experience with biotech data systems preferred: AVEVA PI, LIMS, ELN, MES, ERP, etc.
  • Experience with laboratory automation and data
  • Some experience with BI tools preferred (e.g. Spotfire, PowerBI, etc.)
  • Experience in SIMCA, JMP, or hybrid modeling preferred
  • Interest in learning, or experience with process, statistical, hybrid, mechanistic, and/or machine learning models.

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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AbbVie logo

About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013