Pay
Lower than most similar jobs
$90K–$100K against $118K–$194K, the middle half of what similar US postings state.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Data Scientist Fellow — AI/ML
Bethesda, MD
Live, first seen by us 14 days ago- Pay
USD 90,000–100,000/yearAnnual period assumed — pay source
Salary Range $90,000—$100,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and implement ML models predicting organoid development outcomes
Develop in silico models of organoid growth, maturation and phenotype
Build feedback loops between lab validation and computational prediction
Design validation experiments with experimental teams
Integrate multi-modal datasets with bioinformatics scientists
From the employer’s posting
Design and implement machine learning models that predict organoid development outcomes
Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype
Establish feedback loops between experimental validation and computational prediction
Work with experimental teams to design characterization and validation experiments
with bioinformatics scientists to integrate multi-modal datasets
What you’ll bring
All qualificationsCore experience
- PhD in computer science, engineering, applied mathematics or related field
- Demonstrated experience in AI/ML model development
- Strong programming in Python, R, or comparable languages
- Experience with TensorFlow, PyTorch, or scikit-learn
- Prior experience applying computational methods in biological lab settings
Preferred experience
- 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.
Qualification wording
Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field
with demonstrated experience in AI/ML model development
Strong programming proficiency in Python, R, or comparable languages
experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Prior experience applying computational methods in biological laboratory setti
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.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 24, 202614 days ago
- Recorded sightings
- 20
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 14
Similar jobs usually come down between day 7 and day 57.
At Axle, jobs usually come down by about day 52.
From 10,558 similar postings that came down, and 10 of Axle’s. Coming down is not always a hire.
Axle is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
(ID: 2026-3885)
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
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Model development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
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In silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.
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Feedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.
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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—$100,000 USD
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range $90,000—$100,000 USD
- Location & working pattern
Bethesda, MD
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.