美国农业部计算生物学博士后职位

Computational Biologist Postdoctoral Research Associate 0028 : Ames, IA, United States

A Computational Biologist Postdoctoral Research Associate position is available with the U.S. Department of Agriculture (USDA) Agriculture Research Service (ARS) Corn Insects and Crop Genetics Research Unit in Ames, Iowa. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her background and passion in computational biology and machine learning to discover creative solutions for management, analysis, interpretation, and visualization of large amounts of biological data while creating tools and resources useful for maize researchers.

The appointment is full-time for one year and may be renewed upon recommendation of the ARS and availability of funding. The annual stipend rate for this position is $69,538. A stipend supplement in the amount of $13,615 is included in this rate to offset the cost of an individual or family health insurance plan. The participant must show proof of health and medical insurance. Health insurance may be obtained through ORISE. Relocation expenses up to $4,000 are included in the rate and will be reimbursed, with prior approval. The rate also includes a travel allowance of $4,000 per year to reimburse travel-related expenses to scientific and professional development activities. The participant does not become an employee of the ARS or ORISE.

While participants will not enter into an employment relationship with ARS, this position requires a pre-employment check and a full background investigation.

This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR) and foreign nationals.

This is an equal opportunity program open to all qualified individuals without regard to race, color, age, sex, religion, national origin, mental or physical disability, genetic information, sexual orientation, or covered veteran’s status.

Qualifications:

To be eligible, applicants must have a doctorate in Computer Science, Computational Biology, Statistics, Engineering, or a related discipline in the biological or physical sciences within five years of desired starting date.

Preferred skills include:
■ Demonstrated experience with designing computational methods and tools
■ Strong background in machine learning, statistics, and programming
■ Strong publication record
■ Ability to work independently, as well as part of a team, while building and nurturing collaborations with external research groups
■ Excellent communication skills to disseminate research findings and keeping team members and collaborators informed

How to Apply:

A complete application consists of:
■ An application
■ Official transcript(s) – scanned copies are acceptable
■ A current Resume/CV

All documents must be in English or inlcude an official English translation.