Sort by
Refine Your Search
-
for high-throughput screening; viral vector production; NGS library preparation; and/or basic coding skills for data analysis including R or Python. Dynamic, adaptable, and comfortable working in a fast
-
; or an equivalent combination of education and related work experience. Demonstrated programming or scripting experience in Python, R, and/or Bash. Experience with Linux/Unix environments, command-line tools, and
-
bioinformatics, Computational Biology, Biostatistics, Data Science, or a related quantitative field. Strong programming skills in R and/or Python. Experience analyzing large-scale genomic, transcriptomic, or human
-
the relevant terminology, mathematics, and evaluation methods. Strong proficiency in Java and Python is required. This role requires at least two years of production ML or DL experience beyond generative AI, as
-
, verify, organize, and document behavioral, audio, video, electrophysiology, imaging, and experimental metadata with attention to reproducibility and data integrity. •Use software tools such as Python
-
at this level. Strong proficiency in Python and SQL. Production experience with vector databases (Postgres pgvector, Pinecone, Weaviate, Qdrant, or comparable) and embedding pipelines. Production experience with
-
of, mechanical and electronic-circuit design, alongside fabrication methods (3D-printing, laser cutting, etc.) is expected. Strong candidates will also have software experience with coding in Python, C++, and
-
develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
-
training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred. Strong Python skills
-
skills, time management skills, and meticulous attention to detail. Proficient computer skills. Some knowledge in programming using python and/R would be ideal. Ability to work well both independently and