Staff Engineer, Machine Learning @ BioSpace | Jobright.ai
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BioSpace · 1 week ago

Staff Engineer, Machine Learning

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BiotechnologyCommunities
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Comp. & Benefits

Insider Connection @BioSpace

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Responsibilities

Help define and develop and implement machine learning algorithms to support chemistry and advance drug discovery programs.
Design and optimize algorithms and models for chemical property prediction, compound screening, and reaction optimization.
Deploy machine learning models into production environments and ensure scalability, reliability, and performance.
Work collaboratively with scientists and engineers to understand tactical needs, prototype, and then productionize software to keep experiments moving forward.
Work on multiple projects simultaneously, developing milestones and deadlines in coordination with the broader company goals.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningStatisticsData AnalysisChemistryPython ProgrammingCheminformaticsRDKitOpen BabelPrototype DevelopmentProduction DesignsDrug DiscoveryProblem-SolvingCommunicationTeam-OrientedAdaptabilityEnthusiasmMLOps FrameworksZenMLMetaflowMLFlowSimulation SoftwareRosettaDeepChemGraph Representation LearningVector DatabasesBiologyBiological TermsCollege Freshman Level

Required

Bachelor's with 8 years of relevant experience, or a Master’s degree with 5 years of relevant experience, or a PhD with 3 years of relevant experience in Computer Science, Software Engineering; or equivalent work experience
Strong background in machine learning, statistics, data analysis techniques and chemistry and chemical terms/concepts
Strong Python programming expertise required
Experience with cheminformatics tools and libraries (e.g., RDKit, Open Babel) for chemical data processing and manipulation
Ability to efficiently investigate and solve problems, from prototype development to production designs
Excellent verbal and written communication skills
Team-oriented, flexible, able to adapt to rapidly evolving goals and challenges
Enthusiasm for drug discovery essential

Preferred

Experience with MLOPs frameworks (e.g. ZenML, Metaflow, MLFlow) preferred
Experience with simulation software like Rosetta, deepchem, graph representation learning, and vector databases preferred
Familiarity with biology and biological terms/concepts at the college freshman level preferred

Benefits

401k plan with company matching
Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)
Mental health and wellness benefits
Weeklong summer and winter holiday shutdowns
Generous paid time off and holiday policies
Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies
Enhanced parental leave benefit
Daily subsidized lunch program when on-site

Company

BioSpace

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BioSpace is the leading online community for industry news and careers for life science professionals.

Funding

Current Stage
Growth Stage
Total Funding
$10M
2000-08-24Series B· $10M

Leadership Team

J
Joshua Goodwin
CEO and President
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K
Kristin Jones
Chief Revenue Officer
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Company data provided by crunchbase
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