Biotech AI/ML Scientist
Biotech AI/ML Scientist
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Job Description
You will work closely with trait research scientists breeders bioinformaticians and software engineers to translate scientific needs into comprehensive digital solutions that transform how we discover develop and deploy valuable plant traits. You will collaborate with teams working on knowledge graphs related to native traits and trait x genome interactions. You will own our comprehensive biotech data model and create the foundational data infrastructure that powers ML-driven decisions across every stage of our biotech pipeline.
Duties:
- Collaborate across disciplines with trait research teams to translate scientific requirements into actionable technical strategies.
- Own the technical implementation comprehensive biotech data model as the single source of truth for all biotech analytics.
- Develop specialized and adaptive AI/ML models for biotech pipeline with particular focus on optimizing trait pipeline outcomes.
- Design and implement knowledge graphs that integrate diverse biotech data creating unified data foundations for decision-making.
- Build comprehensive AI/ML-driven decision models for the biotech pipeline that supports and automates critical decisions making.
- Architect and maintain data pipelines to support real-time decision-making.
- Implement workflow automation systems that enable end-to-end trait development pipelines.
- Deploy and scale solutions on AWS using SageMaker ecosystem and Snowflake integration.
Qualifications :
Required:
- Ph.D. in Bioinformatics Computer Science with bioinformatics specialization Genomics or Data Science with biology focus.
- At least 2 years experience.
- Proven expertise in knowledge graph construction and graph-based machine learning techniques applied to biological research and trait development.
- Demonstrated expertise in data pipeline development ensuring efficient flow from various biological data sources to ML models and knowledge graphs.
Preferred:
- Background in plant genomics trait development or agricultural biotechnology with understanding of gene editing and transformation processes.
- 5 years experience.
- Experience with database architecture data modeling and designing unified data systems.
- Proficiency in building ML models that adapt and improve continuously based on experimental outcomes.
Additional Information :
What We Offer:
- A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical Dental & Vision) that starts your first day.
- 401k plan with company match Profit Sharing & Retirement Savings Contribution.
- Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
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#LI-JW1 #LI-ONSITE
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
