Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятная позиция в вычислительной биологии в крупном исследовательском университете предлагает хорошие льготы и релевантный научный опыт, но зарплата не указана, а грантовое финансирование создает неопределенность с продолжением работы.
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Зависимость от грантаЗарплата не указанаАктуальный стекХороший соцпакетНаучная специализация
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Postdoctoral Research Associate-Computational Biology (Computational Biology/Genomics): Conducting hypothesis-driven computational research and analyzing high-throughput sequencing data with an accent on quantitative modeling, data integration, and scientific communication. Focus on developing data-processing pipelines, maintaining research software on a high-performance computing cluster, and devising analytical approaches for genomic, epigenomic, and gene-expression data.
Location: Bryan, Texas, United States; work may extend beyond normal office hours and include weekends.
Company
Texas A&M University Health Science Center is an academic health center conducting transformative education, innovative research, and team-based health care delivery.
What you will do
Conduct hypothesis-driven computational research using controls, quantitative models, and large-scale sequencing data.
Implement, apply, evaluate, and maintain tools for processing, integrating, analyzing, and visualizing high-throughput sequencing datasets.
Interpret and communicate research findings through group meetings, primary research articles, scientific conferences, and research discussions.
Collaborate with TAMU laboratories and external collaborators to design experiments, analyze datasets, and develop innovative project approaches.
Maintain and update software on the TAMU cluster, contribute to the codebase, and maintain personal code in a GitHub or equivalent version-controlled repository.
Supervise undergraduate and/or graduate students and other laboratory, technical, or field staff involved in research.
Requirements
Appropriate PhD.
Ability to multitask and work cooperatively with others.
Nice to have
PhD in Computational Biology, Bioinformatics, or Computer Science.
Training in statistics and programming experience in a UNIX/Linux environment using Python, R, and/or Perl.
Experience analyzing genomic, transcriptomic, or epigenomic data, including RNA-seq, ATAC-seq, and ChIP-seq.
Experience working in a high-performance computing environment and developing data-management and data-processing pipelines.
Proficiency in R, Python, and/or Matlab.
Familiarity with software-development best practices, including unit testing and version control.
Familiarity with inferential statistics and machine learning.
Expertise in computational biology and the ability to devise innovative analytical approaches for high-volume genomic, epigenomic, and gene-expression data.
Ability to work within a team of wet- and dry-lab researchers.
Culture & Benefits
Grant-funded position; future employment may depend on future funding.
Medical, prescription drug, dental, vision, life, accidental death and dismemberment, flexible spending account, and long-term disability insurance, with Texas A&M contributing to employee health and basic life premiums.
12–15 annual paid holidays, paid sick leave, and paid vacation.
Automatic enrollment in the Teacher Retirement System of Texas.
Free exercise programs, release time, LinkedIn Learning, professional-development support, educational release time, and tuition assistance.
Employment is subject to a criminal history investigation and credential verification.
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