SEARCH CAREER OPPORTUNITIES

Post- Doctoral Position

Location: University of Massachusetts Medical School, Worcester, MA

Opportunity for an outstanding post-doctoral applicant with possible career advancement: statistical genomic analyses, gene discovery and function, meta-analyses, genetic epidemiologic projects, prediction modeling, etc. Individual will conduct analyses of large datasets, write manuscripts, and present at scientific meetings.
This position qualifies for visa sponsorship

MAJOR RESPONSIBILITIES:

Conduct analysis of epidemiologic data, genotype and sequencing data, gene-environment analyses, meta-analyses and similar analyses. Interface and actively collaborate with other researchers.

Disciplines: Epidemiology, genetic epidemiology, bioinformatics, statistical genetics with strong quantitative skills.

REQUIRED QUALIFICATIONS:

Ph.D. in quantitative epidemiology, genetic-epidemiology, statistical genetics or bioinformatics and

• 3+ years-Skill (Preferred), experience and good working knowledge of genetic databases and websites, as well as computational programs such as Operating Systems (e.g. UNIX, LINUX, Windows); Scripting languages (e.g. Perl, Python, Bash, Tcl); Programming languages (e.g. Java, C/C++) and statistical programming (R or MatLab), PLINK, SAS.
• Proven ability to analyze large epidemiologic datasets and human genome-wide data
• Record of high-quality publications and oral presentations preferable.
• Thorough knowledge of principles and techniques used in such research projects including knowledge of potential biases, population structure and how to assess them in study design and analyses.
• Experience in programming biology-related software for data mining (e.g. genome sequences) required
• Self-starter and ability to work independently with minimal supervision
• Strong analytical and problem-solving skills
• Excellent organizational and interpersonal communication skills
• Team player, willing to teach and share

Highly qualified candidates will have:

• Hands-on experience in large-scale data analysis
• Experience in data management, statistical computing, SAS, etc.
• Understanding of basic molecular biology
• Ability to manage and steer research projects
• Ability to prepare manuscripts for publication in top tier journals
• Excellent written and verbal English communication skills