Description
As a Postdoctoral Scientist in Functional Genome Engineering, you will join Bayer Crop Science R&D as a key contributor to functional genomics and high-throughput (HTP) screening initiatives.
In this role, you bridge wet lab and computational biology approaches to identify novel targets and biological pathways in organisms of interest.
Working closely with a multidisciplinary research team, you will serve as a technical expert responsible for establishing advanced functional genomics platforms, designing and executing HTP genetic perturbation screens, and generating insights that support decision-making, problem-solving, and pipeline innovation across the organisation.
Responsibilities
- Design and execute genetic perturbation screens in various organisms of interest and cell lines;
- Establish and optimise gene perturbation tools and reagents for various applications;
- Conduct in-depth data analyses and design controlled experiments in collaboration with cross-functional partners, coordinating their implementation to enable project success;
- Understand and anticipate broader project and team interests, identifying, proposing, and performing complementary analyses to enrich insights from multiple modalities and data layers;
- Conduct complex activities that require specialised knowledge and the broad application of scientific principles;
- Take initiative in keeping current with literature in areas of assignment and professional interest;
- Maintain detailed record-keeping and required documentation;
- Demonstrate commitment to inclusion and safety, adhering to safety protocols and best practices.
Requirements
- Ph.D. in a biological or biomedical field, molecular or cell biology, genetics or genomics, bioinformatics, or a similar area;
- Proven experience with CRISPR screens or related gene perturbation technologies using pooled or targeted approaches;
- Experience with next-generation transcriptomics analysis or a related area;
- Experience working in an AWS cloud computing environment and proficiency in at least one programming language (Python, R, etc.);
- Familiarity with innovative or emerging fields of study;
- Strong problem-solving skills with a commitment to high-quality deliverables and the ability to build productive internal and external relationships.
Preferred Qualifications
- Experience with library preparation for high-throughput pooled or targeted approaches screening techniques;
- Knowledge of machine learning applications for functional genomics;
- Experience with agricultural specimens;
- Experience collaborating across multiple teams, fostering a team-based approach to research, and leveraging partnerships;
- Experience clearly communicating project plans and experimental results with partners and stakeholders, maintaining alignment on objectives and priorities.
Compensation and Benefits Employees can expect to be paid a salary between $78,600 – $118,000 per year. Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc.