Entry Level Associate Data Scientist Jobs
New grad associate data scientist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long resume. Most openings are on-site and hybrid roles across Technology & Software, Banking & Financial Services, and E-Commerce & Online Marketplaces, with employers like TikTok, Capital One, and DoorDash hiring at this level now.
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INTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
POSITION OVERVIEW
The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The incumbent will apply advanced machine learning techniques to organoid standardization and contribute to the development of predictive models for tissue engineering applications.
KEY RESPONSIBILITIES
- Model development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
- In silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.
- Feedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.
- Interdisciplinary collaboration. Work with experimental teams to design characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.
REQUIRED QUALIFICATIONS
- Education. Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.
- Programming. Strong programming proficiency in Python, R, or comparable languages, together with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Applied experience. Prior experience applying computational methods in biological laboratory settings, including working knowledge of experimental design principles and biological data types.
PREFERRED QUALIFICATIONS
- Experience with organoid systems or tissue engineering applications.
- Knowledge of differential equations and systems biology modeling, and experience with deep learning approaches for biological applications.
- Familiarity with cloud computing platforms and containerization technologies.
DISCLAIMER:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $90,000 USD - $100,000 USD
INTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
POSITION OVERVIEW
The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The incumbent will apply advanced machine learning techniques to organoid standardization and contribute to the development of predictive models for tissue engineering applications.
KEY RESPONSIBILITIES
- Model development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
- In silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.
- Feedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.
- Interdisciplinary collaboration. Work with experimental teams to design characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.
REQUIRED QUALIFICATIONS
- Education. Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.
- Programming. Strong programming proficiency in Python, R, or comparable languages, together with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Applied experience. Prior experience applying computational methods in biological laboratory settings, including working knowledge of experimental design principles and biological data types.
PREFERRED QUALIFICATIONS
- Experience with organoid systems or tissue engineering applications.
- Knowledge of differential equations and systems biology modeling, and experience with deep learning approaches for biological applications.
- Familiarity with cloud computing platforms and containerization technologies.
DISCLAIMER:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $90,000 USD - $100,000 USD
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Who's Hiring
Top Industries Hiring
- Technology & Software37
- Banking & Financial Services17
- E-Commerce & Online Marketplaces6
- Consulting & Professional Services6
- Food & Beverage5
Entry Level Associate Data Scientist Jobs: Frequently Asked Questions
How do I get an entry level associate data scientist job?
Build a portfolio with two or three end-to-end projects that show data cleaning, analysis, and a clear business insight. Employers at this level look for proficiency in Python or R, familiarity with SQL, and the ability to communicate findings to a non-technical audience. Internship experience, Kaggle competitions, or a capstone project from a degree or bootcamp all give you a concrete edge over candidates with coursework alone.
Which companies hire entry level associate data scientists?
Companies hiring entry level associate data scientists right now include TikTok, Capital One, and DoorDash, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide mix of employers, including large enterprises building out analytics teams, mid-size tech firms, healthcare organizations, and financial services companies with structured new-grad programs.
Are there remote entry level associate data scientist jobs?
Yes, though on-site and hybrid roles still make up a significant share of openings at this level. About 32% of entry level associate data scientist openings are remote or hybrid as of November 2026, so candidates who need location flexibility have real options without limiting themselves to a single city or metro area.
Are these new grad associate data scientist jobs?
Yes, the listings here include new grad, recent graduate, and junior associate data scientist roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship or project work in place of full-time history, or explicitly invites candidates who are early in their careers. If you are a new grad with a solid portfolio, these roles are built for your stage.
Which industries hire the most entry level associate data scientists?
Entry Level associate data scientist roles concentrate in Technology & Software, Banking & Financial Services, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of November 2026. These sectors drive early-career hiring because they generate large volumes of structured data and need junior analysts who can support modeling, reporting, and experimentation under the guidance of senior team members.