BioSpace · 12 hours ago

Scientist, AI

United States

Full-time

Remote

Entry, Mid Level

$100K/yr - $160K/yr

2+ years exp

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Comp. & Benefits

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Responsibilities

Explore state-of-the-art techniques in transfer learning and generative AI to enhance our capabilities.

Build applications and workflows on existing LLMs, and fine tune LLMs for specific tasks.

Design, develop, and deploy deep neural network models, evaluate and benchmark existing foundational models on custom data sets.

Participate in and oversight of scientific report writing. Presentation of methods, results, and conclusions to a publishable standard.

Communicate findings in multiple settings (including 1:1, group, and project meetings).

Qualification

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BioinformaticsMachine Learning/AIDeep Neural NetworksHigh-level Programming RHigh-level Programming PythonHigh-level Programming C++Deep Learning Libraries PyTorchDeep Learning Libraries TensorFlowCloud ComputingData AnalysisHigh-dimensional Molecular Data AnalysisInflammatory Diseases Knowledge

Required

Ph.D. in Bioinformatics, Computational Biology, Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field

2 years or more of relevant biotech and/or pharmaceutical industry experience or relevant academic experience.

Proficiency with at least one high-level programming language (R, Python, C++) for complex data analysis, deep learning libraries (pytorch, tensorflow), and reproducible research practices.

Experience with cloud computing and data platforms.

Experience analyzing high-dimensional molecular data, such as genetics, transcriptomics, imaging, video.

Experience working with a team of machine learning scientists and engineers to deliver on predefined key corporate objectives.

Demonstrated ability to contribute to and help advance multi-disciplinary team projects.

Track record of excellent interpersonal and communication skills, including providing concise summaries of complex data to empower decision-making.

Strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward.

Ability to work in a highly interactive environment with a diverse team of colleagues.