Spatial Transcriptomic Postdoc Scientist

As a Postdoctoral Scientist, you will serve as a key technical transcriptomics expert within Plant Biotechnology at Bayer Crop Science R&D.

You will be responsible for the execution and analysis of single-cell or spatial transcriptomics and technical reporting.

With a focus on functional genomics, you will provide insights to support decision-making, problem-solving, and pipeline innovation.

Responsibilities

• Analyze spatial transcriptomic data for quality assessment and evaluation of experimental success;
• Conduct in-depth data analyses and design controlled experiments in collaboration with cross-functional partners, coordinating their implementation to enable project success;
• Establish and optimize RNA sequencing protocols for single-cell or spatial transcriptomics applications;
• Understand and anticipate broader project/team interests, identifying, proposing, and performing complementary analyses to enrich insights from multiple modalities/data layers;
• Demonstrate commitment to inclusion and safety, adhering to safety protocols and best practices;
• Maintain detailed record-keeping and required documentation;
• Thrive on meeting challenges, insisting on high-quality deliverables, and demonstrating effective problem-solving skills while building productive external and internal relationships;
• Conduct complex activities that require specialized knowledge and the broad application of scientific principles;
• Take initiative in keeping current with literature in areas of assignment and professional interest.

Requirements

• Ph.D. in a biological/biomedical, molecular or cell biology, genetics/genomics, computational field, or similar area;
• Experience with next-generation sequencing library preparation;
• Experience with next-generation transcriptomics analysis or a related area;
• Familiarity with innovative or emerging fields of study.

Preferred Qualifications

• Familiarity with spatial transcriptomics methodologies for analysis;
• Experience working in a Linux environment and at least one programming language (Python, R, etc.);
• Library preparation for cell-based resolution transcriptomics techniques (such as single-cell RNA sequencing or spatial transcriptomics libraries);
• 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.

Benefits

Employees can expect to be paid a salary between $78,640.00 - $117,960.00. Additional compensation may include a bonus or incentive compensation. Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.