At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Assoc Data Scientist
Position Overview:
In this dynamic role, you will leverage advanced mathematical models, machine learning algorithms, and operations research techniques to deliver insights and solutions for high-throughput DNA genotyping workflows. Your expertise will drive optimization through complex datasets, creating predictive models to enhance lab process health. You will design and implement robust cloud analytics deployment pipelines, ensuring seamless integration and monitoring of analytics applications. Collaborating with cross-functional teams, you will contribute to the optimization of workflows across functions and countries, developing sustainable data and reporting pipelines to enhance Precision Genomics. Your ability to present compelling insights to all organizational levels will drive strategic and operational changes, while your technical contributions will accelerate the development of an analytics-driven product pipeline.
Your Tasks and Responsibilities:
Utilize advanced mathematical models and machine learning algorithms to optimize DNA genotyping workflows;Drive genotyping optimization by leveraging complex datasets for predictive modeling and remediation actions;Design and implement cloud analytics deployment pipelines for seamless integration and monitoring;Collaborate with cross-functional teams to optimize workflows across functions and countries;Develop sustainable data and reporting pipelines to support Precision Genomics optimization;Present validated insights to various organizational levels to drive strategic and operational changes;Contribute technical expertise to accelerate analytics-driven product pipeline development;Provide solutions leveraging business acumen in a fast-paced team environment.
Who You Are:
Required Qualifications:
Bachelor's degree with 2+ years of experience or a Master's degree in relevant fields such as Data Science, Machine Learning, or related quantitative disciplines;Experience with web APIs, cloud/relational databases (e.g., PostgreSQL, Oracle), and AWS deployment pipelines;Proficiency in predictive modeling, including theory and strategy comprehension;Experience with R and/or Python for data analysis and modeling;Ability to learn new visualization tools like Shiny, Spotfire, or Tableau;Strong computational skills and capability to work autonomously in a fast-paced environment;Ability to manage parallel tasks with competing priorities;Excellent collaboration, communication, and interpersonal skills;Proven track record of solving complex problems and commitment to achieving results;Willingness to challenge the status quo and embrace change for process improvement.Preferred Qualifications:
Experience in delivering valuable analysis through domain knowledge application;Strong communication skills for presenting complex quantitative analyses to diverse audiences;Ability to anticipate and address customer and stakeholder needs effectively. YOUR APPLICATIONBayer 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.