IVB Team Lead-Senior Scientist
Responsibilities
Lead the cattle stem cell program by defining the experimental strategy, roadmap, milestones, and key readouts.
Contribute to long-term research planning and innovation strategies, aligning program goals with company priorities.
Lead execution of stem cell experiments while maintaining high standards of rigor, documentation, and operational pace.
Mentor and support scientists, providing guidance on troubleshooting, experimental design, and best practices.
Collaborate closely with genomics, data science, and reproductive biology teams to coordinate priorities, workflows, and timelines.
Ensure smooth integration of cross-functional inputs into experimental plans and program decision making.
Analyze and interpret complex datasets—including sequencing and multiomics— and synthesize insights for technical and nontechnical audiences.
Communicate progress, risks, and scientific findings clearly and proactively.
Develop and maintain robust documentation practices, including tracking systems, data records, and SOPs.
Ensure all workflows support reliability, reproducibility, and efficient technology transfer.
Requirements
Ph.D. in Reproductive Biology, Developmental Biology, Stem Cell Biology, Embryology, Computational Biology, or related field.
Deep hands-on expertise in pluripotent stem cell culture, ideally in cattle or other mammalian systems.
Strong proficiency in advanced reproductive technologies (e.g., cloning, IVF).
Solid understanding of reproductive biology, molecular biology, and organoid culture systems.
Experience with bioinformatics tools, databases, and genomic/proteomic data analysis.
Working knowledge of probability, statistical modeling, and algorithm design (preferred).
Experience modeling biological processes and molecular dynamics.
Experience with implementation of artificial intelligence for biological modeling and predictions (preferred).
Ability to translate biological questions into computational analyses (e.g., multiomics integration to identify genotype–phenotype links).
Demonstrated ability to independently design, execute, and interpret complex experiments.
Strong troubleshooting instincts and evidence-based decision-making.
Experience mentoring or leading others with a high standard of scientific rigor.
Excellent communication skills for effective interdisciplinary collaboration and reporting.
Adaptable, curious, and eager to learn new tools and methods in a fast-paced environment.
Strong work ethic and team-first mindset, including willingness to perform hands-on work and support team needs.
Qualifications
Ph.D. in Reproductive Biology, Developmental Biology, Stem Cell Biology, Embryology, Computational Biology, or related field.
Deep hands-on expertise in pluripotent stem cell culture, ideally in cattle or other mammalian systems.
Strong proficiency in advanced reproductive technologies (e.g., cloning, IVF).
Solid understanding of reproductive biology, molecular biology, and organoid culture systems.
Experience with bioinformatics tools, databases, and genomic/proteomic data analysis.
Working knowledge of probability, statistical modeling, and algorithm design (preferred).
Experience modeling biological processes and molecular dynamics.
Experience with implementation of artificial intelligence for biological modeling and predictions (preferred).
Ability to translate biological questions into computational analyses (e.g., multiomics integration to identify genotype–phenotype links).
Demonstrated ability to independently design, execute, and interpret complex experiments.
Strong troubleshooting instincts and evidence-based decision-making.
Experience mentoring or leading others with a high standard of scientific rigor.
Excellent communication skills for effective interdisciplinary collaboration and reporting.
Adaptable, curious, and eager to learn new tools and methods in a fast-paced environment.
Strong work ethic and team-first mindset, including willingness to perform hands-on work and support team needs.
Skills
Hands-on expertise in pluripotent stem cell culture, ideally in cattle or other mammalian systems.
Advanced proficiency in advanced reproductive technologies (e.g., cloning, IVF).
Strong understanding of reproductive biology, molecular biology, and organoid culture systems.
Experience with bioinformatics tools, databases, and genomic/proteomic data analysis.
Working knowledge of probability, statistical modeling, and algorithm design (preferred).
Experience modeling biological processes and molecular dynamics.
Experience with implementation of artificial intelligence for biological modeling and predictions (preferred).
Ability to translate biological questions into computational analyses (e.g., multiomics integration to identify genotype–phenotype links).
Independent design, execution, and interpretation of complex experiments.
Strong troubleshooting instincts and evidence-based decision-making.
Mentoring or leading others with a high standard of scientific rigor.
Effective communication skills for interdisciplinary collaboration and reporting.
Benefits
Competitive salary commensurate with experience.
Flexible working hours and remote work options.
Professional development opportunities and access to cutting-edge research.
Collaborative and supportive work environment.
Health, dental, and vision insurance benefits.
Retirement savings plan with employer match.
Employee assistance program for mental health support.
On-site wellness programs and fitness facilities.
Access to local recreational activities and events.
Regular team-building and social events.
Pay
$100,000 - $120,000 annually.
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM.