Dec 05, 2022
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.
ML Data Scientist Intern
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role ML Data Scientist Intern are to:
- Develop a new phenotypic discovery tool to uncover novel phenotypes;
- Leverage theoretically proven concepts of Bayesian optimization;
- Assist in gathering, curating, and quality control new data sources across Research and Development (R&D) teams;
- Investigate the efficacy of gene regulatory networks;
- Establish an interpretable representation tool for realizing new experiments;
- Direct implementation with current databases of genetic and phenotypic data with the potential to inform novel experiments;
- Implement a Bayesian modeling framework on existing datasets, expand to more extensive data, and improve the underlying Bayesian orAI/ML models;
- Identify how complex genetic interactions lead to observed phenotypes in an efficient manner;
- Ensure your insights lead to a better design and predictions for our current and future intelligent pipelines.
WHO YOU ARE
Your success will be driven by your demonstration of our life values, more specifically related to this position, Bayer seeks an incumbent who possesses the following:
Required qualifications:
- Currently enrolled in a Ph.D. program in data science, quantitative genetics, computer science, math, statistics, or relevant field;
- Proficiency in Python/R coding and data wrangling;
- A solid understanding of AI/ML model basics, implementation, and tuning;
- Experience with Machine Learning areas such as supervised and unsupervised learning, gene regulatory networks, and Bayesian methods.
Entirely remote jobs that could be performed in Colorado: employees can expect to be paid a salary of between $ 40.50 to $ 52.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
| YOUR APPLICATION |
Local regulations and legal requirements vary per country of hire and will be discussed with considered candidates individually based on their potential of hire. | |||
| Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. | |||
| Bayer is committed to providing barrier-free access and support-facilities for individuals with disabilities - during the application process and beyond. Applicants with disabilities are encouraged to request any support / equipment they may need via the contact information below. | |||
| IMPORTANT NOTE for POTENTIAL CANADIAN CANDIDATES: This position requires full vaccination against COVID-19. | |||
| Location: | United States : Missouri : Chesterfield || United States : Missouri : Residence Based | ||
| Division: | Crop Science | ||
| Reference Code: | 746862 |
