Post-Doctoral Fellow - 27606 Faculty Description University of Colorado | CU Anschutz Medical Campus Department of Biomedical Informatics Post-Doctoral Fellow Position #00802709 – Requisition #27606
* Applications are accepted electronically ONLY at www.cu.edu/cu-careers
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Exemptions vary by campus location/department.
Anschutz Campus – Exemptions are allowed for medical or religious reasons. Denver Campus - Exemptions are allowed for medical, religious, or personal reasons. Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.
The University of Colorado Anschutz Medical Campus seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds. The Department of Biomedical Informatics has an opening for a full-time Post-Doctoral Fellow.
The University of Colorado Anschutz Medical Campus is a world-class medical destination at the forefront of transformative science, medicine, education and patient care. The campus encompasses the University of Colorado health professional schools, more than 60 centers and institutes, and two nationally ranked independent hospitals - UCHealth University of Colorado Hospital
and Children's Hospital Colorado
- that treat more than two million adult and pediatric patients each year. Innovative, interconnected and highly collaborative, the University of Colorado Anschutz Medical Campus delivers life-changing treatments, patient care and professional training and conducts world-renowned research fueled by over $650 million in research grants. For more information, visit www.cuanschutz.edu
The Cole Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a computational Postdoctoral Fellow with a background in human genetics and genomics, computational biology, biostatistics, epidemiology, nutrition, metabolism, and/or related fields. Individuals from diverse backgrounds are strongly encouraged to apply. Nature of Work
The Cole Lab broadly uses large-scale genomics and other -omics datasets as a tool to explore diet's relationship with human health and disease. With a variety of computational and statistical approaches, the Cole lab aims to:
Identify the genetic determinants of dietary intake to understand how our genes influence the foods we choose to eat via both direct (e.g. sensory pathways) and indirect (e.g. mediators such as socioeconomic status and body mass index) mechanisms. Elucidate the environmental and biological mechanisms of dietary intake and food metabolism and how inter-individual variation influences these processes and their downstream effects on health. Identify causal relationships between diet, lifestyle, and human health with a focus on cardiometabolic traits and diseases. Improve how dietary variables are captured and defined to increase their power as exposures, outcomes, and interactors in studies across many fields.
As a computational group, we work closely with experimentalists and clinicians to translate findings to the bench and bedside. We are a hybrid in-person/remote group, with flexibility as needed and in agreement with the PI. Professional Field
Biomedical Sciences, Human Genetics and Genomics, Nutrition Supervision Received
The Postdoctoral Fellow will report to the Principal Investigator (PI), Dr. Joanne B. Cole, PhD. Position Duties
The PI will work with the fellow to find projects that are tailored to the fellow's skillset and long-term career goals. Percent effort in this role is as follows:
70% Perform Primary Research
Participate in the design and initiation of research projects Independently carry out literature reviews, analysis, and interpretation of results with guidance from the PI Collaborate with the PI, other members of the lab, and local and international collaborators Maintain transparent and easy to follow documentation of research projects from start to finish, including reproducible and sharable code.
15% Communicate ideas and findings
Present research in progress at lab meetings, project meetings, and 1v1 PI meetings Submit abstracts and present results at local and (inter)national conferences Write and publish manuscripts Actively pursue fellowship awards and assist the PI in grant writing
5% Train and Mentor
Write and share workflows and protocols Supervise and train graduate students and research associates
5% Administrative Duties
Complete required research trainings Perform general administrative duties as requested by the PI
5% Career Development
Attend career development seminars and networking events Complete an Individualized Development Plan (IDP) to be discussed with the PI annually Keep CV up to date
The PI is committed to supporting the candidate's research progress and career development, including the exploration of new project areas and collaborations. While the position requires a biomedical computational background, it is understood that many skills will be learned "on the job", whether that be new computing environments and software, nutritional epidemiology, or large-scale -omics analysis. Salary and Benefits
The salary range (or hiring range) has been established at $54,840 to $66,600
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.
The above salary range (or hiring range
) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.
Total Compensation Calculator: http://www.cu.edu/node/153125 Diversity and Equity
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at [email protected]
The University of Colorado Denver | Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities, persons within the LGBTQ+ community, and all veterans. The University of Colorado is committed to diversity and equality in education and employment.
The University of Colorado Denver | Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Qualifications Minimum Qualifications Applicants must meet minimum qualifications at the time of hire.
PhD in genetics, bioinformatics, biostatistics/epidemiology, nutrition/metabolism, or related fields. At least 6 months experience in R, Python, and/or a comparable programming language, preferably in a High-Performance Cluster Unix computing environment Knowledge, Skill, and Abilites
Statistical genetics methods and software including but not limited to any experience in the following: genetic discovery (GWAS and other genetic association analyses, gene-environment interaction analysis), genetic architecture (heritability and genetic correlation), genetic prediction (genetic/polygenic risk scores), locus follow-up (fine-mapping, credible sets, gene prioritization, colocalization analysis, functional follow-up), and genetic instrumental variable analysis (Mendelian randomization). Experience with these tools in the realm of complex and/or behavioral traits is highly desirable. Epidemiological principles including but not limited to study design, confounding and mediation, causal inference, error, bias, and sensitivity and specificity. A background in nutritional epidemiology is highly desirable. Experience working with large cohorts and/or biobanks, including but not limited to UK Biobank, AllofUs, hospital-based biobanks linked to electronic health records, and study-specific cohorts. Experience working with -omics data and/or diverse populations is highly desirable.Advanced programming skills and/or experience working in a cloud computing environment. Proficiency in scientific communication with evidence of first author manuscript(s) in peer-reviewed journals and oral presentation(s) at local or inter(national) conferences.
Special Instructions to Applicants: Review of applications will begin immediately and will continue until the position is filled. Applications are accepted electronically ONLY at www.cu.edu/cu-careers. Refer to requisition number: 27606. Application Materials Required: Cover Letter, Resume/CV, List of References, Additional Attachments - Refer to Application Materials Instructions Below Application Materials Instructions: Required Application Materials: To apply, please visit: http://www.cu.edu/cu-careers
and attach: 1. A letter of application which specifically addresses the job requirements and outlines qualifications 2. A current CV/resume 3. List of five professional references (we will notify you prior to contacting both on and off-list references) Please be advised that the University does check references as part of the employment process. Please do not submit any of your application material (via email) to the job posting contact. Job Category
: Faculty Primary Location
: Aurora Department: U0001 -- DENVER & ANSCHUTZ MED CAMPUS - 21925 - SOM-BIOMED Informatics Gen Ops Schedule
: Full-time Posting Date
: Sep 28, 2022 Unposting Date
: Ongoing Posting Contact Name: Michelle Fiandra Posting Contact Email: [email protected]
Position Number: 00802709
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