Open Positions

Open Positions

The following are the current open positions in the Institute for Human Genetics.

FACULTY

This position is exempt from the UCSF-wide hiring freeze:

Assistant/Associate Professor of Health Services Research and Health Economics

The UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS) is seeking a faculty member at the Assistant or Associate Professor rank with expertise in health services research, health economics, or a related field. Qualified applicants may also serve as the Assistant Director or Co-Director of TRANSPERS.

The Center, founded in 2008, is a global leader in developing objective evidence on the translation of personalized/precision medicine and other new technologies into clinical care and health policy. We have recently augmented our team with new faculty and a post-doctoral fellow but we would like to add another faculty member in 2021.

The position focuses on developing and sustaining high-quality research that supports the mission of TRANSPERS. The faculty member will lead his/her own research projects as well as contribute to TRANSPERS focused research by leveraging and building existing expertise and developing new areas of growth. The faculty member will be integrated into the Department of Clinical Pharmacy’s teaching and service activities.

The applicant will be expected to have or obtain grant funding, but there is initial funding available for 1-2 years.  This position also offers the possibility for a joint affiliate appointment in the UCSF Philip R. Lee Institute for Health Policy Studies as well as other UCSF centers.

TO APPLY

Interested candidates should apply online:

  • Cover letter
  • Curriculum Vitae
  • Statement of research and teaching
  • Statement of contributions to diversity
  • Names, titles, and contact information for three references.

Deadline for applications: November 9, 2020 (start date is negotiable). Applications received by September 30 will receive priority consideration.

CONTACT

For further information, you may contact Kathryn Phillips at Kathryn.Phillips@ucsf.edu.

STAFF

Please see Staff positions available below.

POSTDOCTORAL POSITIONS

Post-doctoral Fellow in Health Policy and Technology Assessment

The UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS) – a global leader on the translation of personalized/precision medicine and other new technologies into clinical care and health policy – is seeking a post-doctoral fellow.  This position offers the unique opportunity for fellows to  (1) develop their own research program with direct mentorship (2) utilize the exceptional training resources throughout UCSF including fellowship seminars, and (3) get hands-on training by working with a multidisciplinary, global team of leading faculty and collaborators within one of the best health sciences universities in the world. We particularly focus on helping fellows obtain independent grant funding, based on our three decades of success in obtaining NIH funding. Our team is highly collaborative and supportive, and we provide hands-on mentorship to help fellows achieve their goals and to conduct high-quality research. Fellows will also have the opportunity to engage with senior level industry and policy officials and there is the possibility of conducting consulting projects with these groups.

Fellows will collaborate with members of the health policy, economics, and personalized medicine research communities at UCSF. Fellows will develop skills in health economics, policy, technology assessment, personalized/precision medicine, and qualitative/quantitative research, and they will have the opportunity to attend seminars and conferences. Activities are tailored to the fellows’ interests and may include reimbursement and coverage policies, systematic evidence review, economic evaluation, registry database development, and survey research. The program seeks to enhance the fellow’s knowledge of scientific literature evaluation, research design, health economics, and policy research while providing training and experience in these fields. The fellow will have opportunities to publish and present data at professional meetings.

A particular focus of this post-doctoral fellowship is the translation of new technologies such as precision medicine into clinical care and health policy. Launched in 2008, TRANSPERS brings together a broad spectrum of experts from across the world — from academia, government, and groups representing patients, providers, and payers — to examine critical issues that impact the translation of precision medicine into practice and policy. Using an evidence-based approach, we launch projects and establish working groups to explore key areas with an emphasis on coverage and reimbursement policies, costs and cost-effectiveness analysis, stakeholder decision-making, and evidence development.  Our methods include both quantitative approaches (systematic evidence review, economic evaluation, registry database development, surveys) and descriptive approaches (interviews, meetings).

TRANSPERS has a stellar record of funding, publications, and policy impact, with continuous funding from the National Institutes of Health for over a decade;  over 100 publications including JAMA, Science, Health Affairs, Genetics in Medicine, Value in Health, and many others; and engagement with senior officials in industry, payer groups, and government.  The position is located in the UCSF School of Pharmacy – consistently ranked the best pharmacy school in the country. UCSF is ranked one of the top biomedical schools in the world and offers fellows a wide range of collaborative opportunities through the UCSF Philip R. Lee Institute for Health Policy Studies, the UCSF Helen Diller Family Comprehensive Cancer Center, the Institute for Human Genetics, and many other groups.

Job Requirements:

The fellow must be a graduate of an accredited doctoral program with a PhD or equivalent degree in health services research, health economics, health policy or a related field by the start of the fellowship. Preferred qualifications:

  • Expertise or interest in precision medicine/genetic testing and other new technologies
  • Expertise or interest in reimbursement and coverage policies, systematic evidence review and meta-analysis, economic evaluation, data analysis and database development, and/or multi-methods research
  • Strong communication skills
  • Demonstrated ability to work both independently and in teams
  • A desire to become a leader in academia or other organizations

Salary

The fellow will receive a stipend consistent with NIH post-doctoral fellowship standards (based on experience), with a supplemental amount in accordance with UCSF policy. Additional start-up funds beyond salary may be available. All postdocs also receive a generous benefits package that encompasses health, dental, vision, and short-term disability insurance, including coverage for their dependents.  In addition, vacation, sick and professional leave are provided and there are possibilities for travel and conference funds in addition to funded consulting activities or stipend supplements. This position is federally funded: U.S. Citizenship, residency, or appropriate visa required.

How to Apply:

Applications for the fellowship will continue to be accepted until the position is filled. Start dates are negotiable.  To apply, send a curriculum vitae and statement of interests to: Kathryn.Phillips@ucsf.edu

Location:
San Francisco
Greater Bay Area
Peninsula
California

Postdoctoral or Staff Researcher position in Autism Genetics

 

Postdoctoral positions in Applied Human Genetics

We are seeking highly motivated individuals with a strong sense of “team effort” interested in pursuing an academic career in Applied Human Genetics. The UCSF Asthma Collaboratory is located on the new and vibrant Mission Bay Campus of UCSF.

Our research interests encompass pharmacogenetics, gene-gene/gene-environment interactions, and large scale population genetics in the context of asthma and asthma-related traits. We also recognize the value in population-specific differences in disease susceptibility and drug response and perform the bulk of our research in admixed populations.

We have recruited the largest study population of minority children with asthma and drug response in the U.S. (n ~ 10,000). We have detailed clinical information including individual drug response, air pollution and measures of socioeconomic status and acculturation. We have genome-wide SNP data on all participants. We also have existing genomic DNA, RNA and plasma/serum for additional wet lab experiments. Finally, we have whole genome sequencing (WGS) data on 1,500 minority children with asthma and drug response.

Our group is highly collaborative and the successful applicant must be able to effectively communicate with clinicians, geneticists, and epidemiologists as a productive part of a cohesive team. In addition, the successful applicant must have an exceptional statistical background, excellent writing skills, and innovative biological insight to join our team at the forefront of characterizing and evaluating the etiology of pediatric asthma in diverse human populations. Applications from individuals with a background in studying organisms other than humans are equally encouraged.

REQUIRED QUALIFICATIONS

  • Excellent written and verbal communication skills, and the ability to manage multiple projects and multiple PIs
  • PhD in Genetics, or a related discipline
  • Record of publication in the areas of statistical genetics or genetic epidemiology
  • Experience in the analysis of next-generation sequencing data, including the manipulation of large-scale genomic data and effective utilization of computer clusters
  • Demonstrated knowledge and programming experience in UNIX, R, PYTHON and/or PERL
  • Highly motivated and committed to biomedical research

UCSF is an Equal Opportunity/Affirmative Action Employer.  Both the Burchard and Hernandez Labs are committed to increasing diversity in the sciences.  Applications from women and minorities are encouraged.

For more information, please visit: https://pharm.ucsf.edu/burchard.

TO APPLY

To apply, please send CV and short research statement (1 page) as a single PDF to Esteban Burchard, MD, MPH at Esteban.Burchard@ucsf.edu.

Postdoctoral or Staff Researcher position in Autism Genetics

Human iPSC Research Position

Seeking postdoctoral fellow (or staff researcher with equivalent experience) in autism genetics lab for work with a human induced pluripotent stem cell (iPSC) model of autism.  Abundant opportunities to use emerging technologies and to contribute to understanding the biological basis and therapeutic potential for autism.

QUALIFICATIONS

  • Experience with cell culture required, preferably with primary neurons, stem cells, and/or iPSCs
  • Background in neurobiology and human genetics advantageous
  • The successful applicant will be hard-working, self-motivated, a creative trouble-shooter, and a good team member

CONTACT

If interested in working with the Weiss Lab (laweisslab.ucsf.edu), please send CV and cover letter to lauren.weiss@ucsf.edu.

Postdoctoral or Staff Researcher position in Autism Genetics

Quantitative Genetics Research Position

Autism genetics lab seeking postdoctoral fellow or staff researcher for computational analysis of large datasets. Abundant opportunities to publish in the scientific literature, to use emerging technologies and methods, and to contribute to understanding the biological basis and therapeutic potential for autism and related disorders.

QUALIFICATIONS

  • Background in human genetics and analytical experience in genome-wide datasets highly desirable
  • Computer programming, advanced statistical skills, and experience in neuropsychiatric genetics also advantageous
  • The successful applicant will be self-motivated, a creative trouble-shooter, and flexible in taking on a range of responsibilities to help establish new research projects and directions and sustain collaborative projects

CONTACT

If interested in working with the Weiss Lab (laweisslab.ucsf.edu), please send CV and cover letter to lauren.weiss@ucsf.edu.

Postdoctoral or Staff Scientist position in Bioinformatics or Statistical Genetics

A postdoctoral position in the field of bioinformatics/statistical genetics is available in the Liao Laboratory within the UCSF Department of Dermatology. The focus of the research is the analysis of large-scale human genomic and genetic datasets to understand the pathogenesis of cutaneous inflammatory diseases, identify novel predictive biomarkers, and develop curative therapies. The Liao lab collaborates closely with both academia and industry to generate rich genetic and immune cell datasets.

RESPONSIBILITIES

The successful applicant will work in a thriving multidisciplinary research team (clinical, genetics, immunology, bioinformatics) to perform data analyses, and implement novel statistical methods relevant for genetic studies of skin diseases. The applicant will play a major role in determining new research directions and in drafting manuscripts and presenting results at professional meetings.

QUALIFICATIONS

We are seeking a candidate with a Ph.D., M.D., (or equivalent) with training in bioinformatics, statistical genetics, computer science, computational biology, or a closely related field. The ideal applicant will have experience in analysis of single cell RNA-sequencing data, genome-wide association studies, next generation sequencing data, and machine learning. Experience in molecular biology or immunology is desirable.

This position requires a highly motivated individual with excellent communication skills and a strong track record of first author publications. Expertise in statistical and computational methods for complex, high-dimensional data is required. We seek a candidate with strong computer programming and scripting skills. The incumbent will be expected to work independently to complete data analysis.

CONTACT

Qualified candidates are encouraged to email a cover letter, curriculum vitae, and list of three references to Dr. Wilson Liao at wilson.liao@ucsf.edu with “Bioinformatics Application” in the subject of the email. Further information about the Liao lab is available at: https://profiles.ucsf.edu/wilson.liao

Postdoctoral position in Computational Genomics

We are seeking a computational postdoc to lead the analysis of population genomics and genome editing data from studies of the human immune system. Our broad goals are to understand how our genomes encode biological function (Schumann et al. PNAS 2015, Farh*, Marson* et al. Nature 2013) and how variation give rise to phenotypic diversity (Lee*, Ye* et al. Science 2014, Ye et al. Science 2014).

You: You must be an independent, motivated, creative and enthusiastic individual with a background in statistical genetics, computational biology, or other relevant quantitative disciplines (computer science, physics and math encouraged). You should be comfortable applying your technical skills to the analysis of high-through genomic datasets by leveraging existing software. Previous experience in the analysis of genotyping data, RNA-seq, ATAC-seq, single cell RNA-seq, and CRISPR/Cas9 screens is a plus. You must be able to interact with experts in other disciplines such as immunology, molecular biology and clinical sciences.

Us: The Ye Lab at the Institute for Human Genetics and the Marson Lab in the Department of Microbiology and Immunology closely collaborate on a number of projects. We work with technologists to adapt new techniques to generate primary large-scale population genomics datasets such as RNA-seq and ATAC-seq in bulk and single cells to study human immunology with a quantitative emphasis. The specific goals for this fellowship are: 1) to discover genetic polymorphisms and epigenetic marks responsible for autoimmune disease susceptibility and differential vaccine response, 2) to develop models based on a combination of primary data analysis and biological insights to map transcriptional regulatory circuitry, and 3) to build software tools and infrastructures to collect, analyze and share genomic datasets.

Anticipated start date: ASAP

QUALIFICATIONS

  • PhD in bioinformatics, computer science, computational biology, physics, mathematics, statistical genetics or relevant field.
  • Demonstrated previous research experience through at least one first-author publication in a reputable journal.
  • Proficiency in scripting (perl/python) and statistical analysis (R). Programming (C/C++) experience a plus.
  • Comfortable handling up to 1T of data.

CONTACT

jimmie.ye@ucsf.edu

Postdoctoral position in Computational Genomics

We are seeking a computational postdoc to lead the analysis of primary data from population genomics and genome editing studies.

You: You must be an independent, motivated, creative and enthusiastic individual with a background in statistical genetics, computational biology, or other relevant quantitative disciplines (computer science, physics and math encouraged). You should be comfortable applying your technical skills to an exciting and ever-changing field of computational genomics by leveraging existing software for the analysis of primary data. Previous experience in the analysis of genotyping data, RNA-seq, ATAC-seq, single cell RNA-seq, and CRISPR/Cas9 screens is a plus. You must be able to interact with experts in other disciplines such as immunology, molecular biology and clinical sciences.

Us: The Ye Lab at the Institute for Human Genetics and the Sirota Lab at the Institute for Computational Health Sciences closely collaborate on a number of projects aimed to better understand how our genomes encode biological function and how variation give rise to phenotypic diversity, especially in the context of immune traits. We collaborate heavily with clinicians to generate primary large-scale population genomics datasets such as RNA-seq and ATAC-seq in bulk and single cells in patient populations. We have three major goals in our labs: 1) to discover genetic polymorphisms and epigenetic marks responsible for phenotypic diversity such as disease susceptibility and differential vaccine response, 2) to develop computational models based on a combination of primary data analysis and biological insights to map transcriptional regulatory circuitry, and 3) to build software tools and infrastructures to collect, analyze and share genomic datasets.

Anticipated start date: ASAP

QUALIFICATIONS

  • PhD in bioinformatics, computer science, computational biology, physics, mathematics, statistical genetics or relevant field.
  • Demonstrated previous research experience through at least one first-author publication in a reputable journal.
  • Proficiency in scripting (perl/python) and statistical analysis (R). Programming (C/C++) experience a plus.
  • Comfortable handling up to 1T of data.

CONTACT

jimmie.ye@ucsf.edu

Postdoctoral position in Epigenomics and Stem Cell Biology

A Postdoctoral position in Epigenomics and Stem Cell Biology is available in the Institute for Human Genetics and the Department of Neurology at UCSF.

We use a combination of genomics, genetics, and stem cell biology to investigate the roles of genetic and epigenetic variations in non-coding sequences in regulating gene expression during development and in neurological disease conditions.

The successful candidate should have (or be about to obtain)

  • PhD in stem cell biology, molecular biology, genetics, neurodevelopment or bioinformatics
  • Knowledge of Perl or R (Bioconductor) is a plus, but not required

TO APPLY

  1. A cover letter with a brief description of current research and research interest
  2. A CV with a list of publications
  3. References with email and phone contacts

The application can be sent to Dr. Yin Shen at Yin.Shen@ucsf.edu

Postdoctoral Fellow in Experimental Immunology

The Ye (UCSF) and Shastri (UC Berkeley) labs are seeking two exceptional experimental postdoctoral fellows to lead the characterization of antigen processing peptidases in the human genome. We seek to understand how common variants of ERAP1 and ERAP2 maintained by natural selection affect antigen presentation, myeloid and lymphoid cell function using in vitro tools and in vivo models. To do this, we will apply state of the art genomic, proteomics, genome engineering and genetic approaches.

Us: We are a dynamic, collaborative team at UCSF and UC Berkeley who have recently received an NIH award to jointly study the mechanisms by which natural variants of ERAP1 and ERAP2 predispose individuals to autoimmunity and infectious disease. The labs have significant and complementary expertise in computational and experimental genomics, classical and systems immunology as well as mouse and human genetics. We have published extensively on the genetic determinants of transcriptional variation in immune cells (Ye lab) and characterization of antigen processing and presentation pathways (Shastri lab).

You: You must be an independent, motivated, creative and enthusiastic individual with a background in experimental immunology. Excellent communication and organization skills are a must. The successful candidate should be experienced in molecular biology (PCR, and cloning), measurement of immune responses, primary cell cultures, and developing in vivo mouse models. Additional skills in genomic technologies is a plus including preparation of sequencing libraries and CRISPR/Cas9 genome editing. You must be able to interact with experts in other disciplines such as functional genomics, molecular biology, immunology and clinical sciences. Anticipated start date is June 1, 2018.

QUALIFICATIONS

  • PhD in immunology, molecular biology or relevant field.
  • Previous research experience in a molecular biology research laboratory required. Experiences in genomic technologies such as RNA-seq andCRISPR/Cas9 genome engineering is preferred.
  • Demonstrated previous research experience through at least one first-author publication in a reputable journal.
  • Must be able to solve complex problems in a creative and effective way.
  • Excellent communication skills and the ability to interact professionally with all levels of staff in a fast-paced environment.
  • Exceptional organizational and critical thinking skills, lab notebook practices and attention to detail are essential.

CONTACT

Jimmie Ye at jimmie.ye@ucsf.edu or Nilabh Shastri at nshastri@berkeley.edu

Postdoctoral Fellowship in Genomics of Asthma

The Erle Lab at the University of California San Francisco (UCSF) has an immediate opening for a postdoctoral fellow interested in studying basic mechanisms underlying asthma. Asthma is a major public health problem that affects more than 300 million children and adults. Our studies, which are funded by the NIH’s National Heart Lung and Blood Institute (NHLBI) and National Institute for Allergy and Infectious Diseases (NIAID), focus on identifying how changes in the airway epithelium cause morbidity and mortality in asthma.

THE POSITION

This individual will lead projects that make use of primary human bronchial epithelial cell culture models and other complementary systems to investigate gene regulation and mechanisms of airway obstruction in asthma. The fellow will build on prior studies from the lab that have identified a large set of transcriptional changes that occur in asthma and have begun to discover novel mechanisms that cause these changes and may be valuable therapeutic targets. The successful applicant will be encouraged to formulate innovative hypotheses and test them using methods already available in the lab augmented by other new methods as appropriate. Methods already in use in the lab include efficient gene targeting using CRISPR, microscopy-based methods for analyzing epithelial cell structure and function, single cell approaches to studying gene regulation (single cell RNA-seq, ATAC-seq, and flow cytometry), and massively parallel reporter assays. The fellow will work closely with other experienced lab members and collaborate with clinical researchers in other UCSF groups.

QUALIFICATIONS

  • Applicants should have experience with cell culture and molecular biology.
  • Experience with immunofluorescence and/or video microscopy, flow cytometry, biochemistry, genomics, and basic computational biology and statistics would also be valuable but are not required; we expect to provide training in these areas as appropriate.
  • Successful applicants will have a PhD or equivalent, at least three years of relevant research experience, and excellent communication skills.

TO APPLY

Applicants should e-mail a CV and a one-page statement explaining their qualifications for and interest in a position to:

David J. Erle, MD
Professor and Associate Chair for Biomedical Research
Department of Medicine
University of California San Francisco

Email: david.erle@ucsf.edu | Lab website: https://erlelab.ucsf.edu

Postdoctoral Position in Genomics of Skin Cancer

The Shain lab is seeking to fill an open position for a postdoctoral scholar. Our laboratory uses a variety of -omic technologies to better understand the biology of skin cancer. For this position, the postdoctoral scholar will build upon a recent publication from our lab where we described the genomic landscape of individual skin cells (Tang et. al. Nature, 2020). See article

The work involves the use of single-cell DNA- and RNA- sequencing technologies as well as subsequent bioinformatic analyses. There will also be opportunities for the postdoctoral scholar to build independent projects, too.

REQUIREMENTS

The candidate MUST be interested and enthusiastic about the proposed work and the overarching work in our laboratory. Familiarity with the analysis of high-throughput datasets, including programming experience is desired. Previous experience in the field of genetics, cancer biology, and/or bioinformatics is also desired.

TO APPLY

Please send your CV/Resume and a brief cover letter to Hunter Shain at Hunter.Shain@ucsf.edu.

Postdoctoral Positions in Statistical Genetics and/or Genetic Epidemiology

The Witte lab has openings for enthusiastic and hard-working post-docs in the development of analytical methods and their application to cancer and pharmacogenomics projects.

Specific areas of research include

  1. Developing and applying novel approaches for the analysis of rare genetic variants;
  2. Evaluating the co-heritability and pleiotropy of different cancers and other phenotypes (e.g., height);
  3. Deciphering the genetic and genomic basis of prostate cancer using genome-and exome-wide germline and somatic data.
  4. Investigating genetic factors that impact response to drug treatment. Candidates should have a strong quantitative background, experience developing and applying statistical models to large genetic epidemiologic studies, and expertise in programming.

To apply, please send a brief statement of interest, CV, and names of three or more references to John Witte at jwitte@ucsf.edu

Environment at IHG

The IHG serves as a focal point for campus-wide activities in human genetics and has outstanding faculty members engaged in human genetics research spanning the four schools: Medicine, Nursing, Pharmacy and Dentistry. The major aim of the institute is to create an exciting, productive and collaborative environment for research; training and clinical application in human genetics; and to provide institutional support and resources, such as the Genomics Core facilities, for faculty research and for teaching in a number of UCSF graduate and medical school programs.

Ideal Candidates

UCSF seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence.

UCSF is an Equal Opportunity Employer

UCSF is an affirmative action / equal opportunity employer. The University undertakes affirmative action to assure equal employment opportunity for underutilized minorities and women, for persons with disabilities, and for covered veterans. All qualified applicants are encouraged to apply, including minorities and women.

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