Fellowship Jobs

21,577 open positions · Updated daily

Fellowship positions sit at the intersection of research and industry, offering a unique blend of hands‑on project work and academic rigor. 2024 has seen a surge in funding for AI, data‑driven health, and climate science fellowships, with more than 2,100 roles available that combine stipend, tuition waiver, and research grants.

Common fellowship titles include Data Science Fellow, AI Research Fellow, Computational Biology Fellow, and Quantitative Analyst Fellow. Responsibilities range from developing end‑to‑end ML pipelines in Python and PyTorch, publishing peer‑reviewed papers, to presenting findings at SIGGRAPH, NeurIPS, or ISMB conferences. Fellows often collaborate with cross‑functional teams in product, policy, and regulatory groups.

Transparent salary information is critical for fellows because funding streams vary widely—stipends can differ by host institution, grant size, and year. Knowing exact pay, benefits, and equity options enables fellows to compare opportunities, plan long‑term career trajectories, and negotiate grant support more effectively.

Senior Software Engineer II

Company: Freenome

Location: Remote

Posted Jan 25, 2025

Freenome, a high-growth biotech company founded in 2014, is seeking a Senior Software Engineer II to join their innovative Engineering team. The ideal candidate should have at least 8 years of experience in backend development, proficiency in Python, and strong experience with containerization and orchestration technologies. The role involves designing, developing, and deploying reliable, maintainable, scalable, and fault-tolerant backend services. The candidate will collaborate with interdisciplinary teams, mentor junior engineers, and contribute to the development of data infrastructure for machine learning applications.

Staff, Software Engineer - Messaging Data Platform

Company: Twilio

Location: Ireland

Posted Jan 25, 2025

Twilio is seeking a Staff Software Engineer for the Messaging Data Platform team. The role involves designing, constructing, testing, and maintaining scalable data architectures and pipelines. The ideal candidate should have 3+ years of Java development experience, 5+ years of experience with Big Data processing tools, and expertise in Lakehouse technologies. The position offers competitive pay, generous time-off, and opportunities for professional growth. Twilio values diverse experiences and encourages applicants from all backgrounds to apply.

Frequently Asked Questions

Typical salary ranges by seniority
Entry‑level research fellows usually receive an annual stipend of $45,000–$75,000 plus health insurance. Mid‑level data science fellows or post‑docs earn $70,000–$110,000 and may receive partial tuition coverage. Senior or principal fellows, especially in industry or high‑profile grant programs, can command $100,000–$160,000 plus performance bonuses and intellectual‑property revenue sharing.
Required skills and certifications
Key skills vary by specialty but commonly include: Python, R, SQL, and statistical libraries (pandas, scikit‑learn); ML frameworks such as TensorFlow, PyTorch, or JAX; cloud platforms like AWS SageMaker, GCP AI Platform, or Azure ML; and version control with Git. Certifications that boost candidacy include TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, and Certified Analytics Professional (CAP). For AI fellowships, expertise in NLP (transformers, BERT), reinforcement learning, or computer vision is essential, often supported by coursework such as Stanford CS231n or MIT 6.034.
Remote work availability
Remote availability varies by program. Approximately 70% of fellowship listings allow full remote or hybrid collaboration, especially those hosted by universities or cloud‑based research labs. Industry fellowships at companies like Google, Microsoft, or NVIDIA often require on‑site presence for lab access, but many are transitioning to hybrid models. Applicants should verify remote policies in the job description or contact the program coordinator directly.
Career progression paths
Career paths after a fellowship typically follow: Fellow → Post‑doctoral Fellow → Senior Fellow/Principal Fellow → Lead Research Scientist → Director of Research. In data‑science tracks, a fellow may progress to Data Scientist → Senior Data Scientist → Lead Data Scientist → Chief Data Officer. Timing depends on publication record, grant success, and leadership roles; most fellows advance within 3–5 years of completing their fellowship.
Industry trends for Fellowship
Current trends driving fellowship demand include: AI ethics and responsible AI research, which has spurred fellowships at institutions like MIT Media Lab and IBM Research; interdisciplinary health‑tech fellowships focused on AI for diagnostics, funded by NIH and DARPA; climate‑modeling fellowships leveraging high‑performance computing; and open‑source software fellowships that contribute to platforms such as TensorFlow, PyTorch, and Apache Spark. These trends increase funding opportunities and collaborative networks across academia and industry.

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