Bayer
Precision Genomics Data Science Co-Op
Job Function:
Biotechnology R&D
Job Type:
Location:
Multiple
Based:
United States
Closing date:
ABOUT THE ROLE
This individual inside the Precision Genomics group works collaboratively with interdisciplinary scientists, IT, and engineering professionals across the organization to optimize DNA sequencing workflows and answer important questions that drive key decisions for Precision Genomics and our partners including Breeding, Biotech and Product Supply.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role are to:
Work in the Precision Genomics Analytics team as an individual contributor with other Data Analysts/Data Scientists
Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline
Use advanced mathematical models, machine learning algorithms, and/or operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions
Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators
Form partnerships with cross functional teams in the company, including internal R&D, engineering and IT teams
Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.
REQUIREMENTS
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
Currently pursuing a Masters or PhD in a relevant discipline (Data Science, Machine Learning, Electrical/Industrial Engineering, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline)
Demonstrates intermediate proficiency in computational skills and level of experience building data models using R, Python or other statistical and/or mathematical programming packages
Strong proficiency in predictive modeling—to include comprehension of theory, modeling/identification strategies and limitations and pitfalls
Intermediate proficiency in machine learning algorithms and concepts
Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen
Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders.
Preferred Qualifications:
1-2 years of experience with machine learning modeling and working with genomics data
Strong analytical and problem-solving skills.
ABOUT THE COMPANY
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer is an E-Verify Employer.
HOW TO APPLY
