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Health Data Science Fellow Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Public Health Solutions

Data Scientist

Queens, NY · On-site

$126K/yr

The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public ...

ADVI Health

Data Science Talent Community

Job Type Full-time Description Join the ADVI Health Data Science Talent Community About Us ADVI Health: Expert Advice. Clear Vision. Are you passionate about turning data into action, and insights ...

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... health, and fitness outcomes. The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... health, and fitness outcomes. The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world ...

Variant Bio

(Associate) Scientist, Health Data

Seattle, WA · On-site

$67K - $67K/yr

MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health, computational biology, or a related field - or bachelors with a minimum of 2 years relevant ...

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Health Data Science Fellow information

What is the difference between Health Data Science Fellow vs Data Analyst?

AspectHealth Data Science FellowData Analyst
Required CredentialsTypically advanced degrees in health informatics, data science, or related fields; some fellowships may require certificationsBachelor's or master's in data analysis, statistics, or related fields; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentResearch institutions, healthcare organizations, or academic settings focusing on health data projectsBusiness, healthcare, or tech companies analyzing data to inform decisions
Employer & Industry UsagePrimarily in healthcare, research, and academic sectorsAcross various industries including healthcare, finance, marketing, and technology

In summary, a Health Data Science Fellow focuses on advanced health-related data projects often within research or academic settings, requiring specialized health informatics knowledge. A Data Analyst has a broader role across industries, analyzing data to support business decisions, often with more general data analysis skills.

What is a Health Data Science Fellow?

A Health Data Science Fellow is a professional participating in a specialized fellowship program focused on applying data science techniques to healthcare data. Fellows work on projects involving the analysis of medical, clinical, or public health datasets to derive insights that can improve patient care, hospital operations, or health policy. These programs typically combine mentorship, hands-on experience with real-world datasets, and advanced training in statistics, programming, and machine learning. The role is ideal for individuals with a background in data science, statistics, or health sciences who want to deepen their expertise in health-related applications.

What are the key skills and qualifications needed to thrive as a Health Data Science Fellow, and why are they important?

To thrive as a Health Data Science Fellow, you need strong analytical skills, proficiency in statistics, and a background in fields like public health, computer science, or bioinformatics, often supported by a relevant degree. Experience with programming languages (such as Python or R), data visualization tools, and familiarity with healthcare data systems are typically required. Excellent problem-solving, communication, and teamwork skills help fellows translate complex data insights into actionable healthcare solutions. These capabilities are crucial for driving data-driven improvements in health outcomes and supporting evidence-based decision-making in medical environments.

What types of projects can a Health Data Science Fellow expect to work on, and how do these contribute to team goals?

Health Data Science Fellows typically engage in projects such as analyzing large-scale healthcare datasets, developing predictive models for patient outcomes, or supporting clinical research with data-driven insights. These projects are often collaborative, involving close work with clinicians, IT professionals, and other data scientists to ensure analyses are relevant and actionable. Fellows contribute by turning complex data into meaningful recommendations that can improve patient care, operational efficiency, or public health initiatives. The role provides a unique opportunity to gain hands-on experience with real-world health data and make a measurable impact within multidisciplinary teams.
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What job categories do people searching Health Data Science Fellow jobs look for? The top searched job categories for Health Data Science Fellow jobs are:
Health Data Science Fellow jobs near you
Infographic showing various Health Data Science Fellow job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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