Open Positions

Open Positions

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

FACULTY

There are currently no Faculty positions available.

STAFF

Research Assistant

The Shain Lab in the Department of Dermatology at the University of California San Francisco is seeking to understand the biology of melanoma. We are a cross-disciplinary team of molecular and cellular biologists and bioinformaticians that work together to understand the genetic alterations that arise in cancer. We use a variety of -omic approaches to delineate the genetic and transcriptomic alterations in skin cancer. Recently, we have initiated single-cell based studies (both DNA- and RNA- single-cell sequencing).

JOB OVERVIEW

Job Type: Part-time role or 1-year paid internship

The Shain Lab is seeking a hard-working research assistant to provide support for research staff members in the lab by performing entry-level duties. This position is for a research assistant with preferably industry and/or academic laboratory experience but is not required.

The successful candidate for this research assistant position working within company premises will report to the postdoctoral researchers and principal investigator of the lab. You will play an essential role on the team by assisting research scientists with their experiments and your contributions will be acknowledged in their publications.

Under direct supervision and with training provided, the position includes assisting scientists in cell culture, tissue process and handling, recording results, cell microscopy, DNA/RNA handling, and managing lab inventory.

MINIMUM JOB REQUIREMENTS

  • Recently graduated or currently attending university, majoring in biological sciences, genetics, medicine, biochemistry or a related field
  • Preferred prior experience in a scientific laboratory
  • Knowledge of wet chemical and biological laboratory safety principles a plus
  • Excellent attention to detail, protocol-following, record-keeping skills, fast-learner, and hardworking
  • Ability to work independently in a timely manner and dependable
  • Excellent organizational, communication, and interpersonal skills
  • A can-do attitude that will allow the individual to grow and learn during their time at UCSF

EXPERIENCE

Lab technician: 1 year (Preferred but not required)

WORK AUTHORIZATION

United States (Required)

TO APPLY

To apply, please send cover letter and CV to Professor Hunter A. Shain at Alan.Shain@ucsf.edu.

Staff Research Associate II

The Ahituv lab is searching for a Staff Research Associate II with experience in molecular biology and mouse handling.

Required Qualifications

  • BA/BS in biology or medical-related sciences are preferred; or an equivalent combination of education and experience
  • Knowledge, familiarity and experience in research administration and monitoring
  • Experience in molecular biology and mouse handling
  • Experience in relationship cultivation and team building of diverse populations
  • Calculations to perform assays

TO APPLY

Interested individuals should submit applications to Job 52733BR.

POSTDOCTORAL POSITIONS

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 or staff scientist position is available within the UCSF Department of Dermatology in the field of bioinformatics/statistical genetics. The focus of the research is the analysis of large-scale genomic and genetic datasets to understand the pathogenesis of cutaneous inflammatory diseases and develop novel predictive biomarkers.

Responsibilities

The successful applicant will work in a multidisciplinary research team 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 PhD (or equivalent) with training in bioinformatics, statistical genetics, or a closely related field. The ideal applicant will have experience in analysis of RNA-sequencing data, microbiome data, genome-wide association studies, and/or next generation sequencing data. This position requires a highly motivated individual with excellent communication skills. Expertise in statistical and computational methods for the analysis of complex, high-dimensional genotype data is desirable. Computer programming skills are required. The incumbent will be expected to work independently to complete data analysis.

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.

Postdoctoral Fellowship or Staff Scientist Position in Computational Biology of Asthma

The Erle Lab at the University of California San Francisco (UCSF) has immediate openings for a postdoctoral fellow or staff scientist 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 complex and large datasets to generate and test hypotheses relevant to understanding mechanisms of asthma. Examples of datasets that are already available for analysis include RNA-seq, single cell RNA-seq, ChIP-seq, single cell ATAC-seq, and massively parallel reporter assays (MPRAs). There will be many opportunities to interact with experimental biologists who are generating the datasets and can perform additional experiments to test new hypotheses. This fellow or staff scientist will also work closely with faculty members and other UCSF individuals with relevant expertise in various computational methods and will be given the opportunity to develop new methods and tools for data analysis.

QUALIFICATIONS

  • Applicants are required to have at least one year of experience with analysis of large biological datasets and must have strong programming skills.
  • R, Python, and UNIX experience is preferred.
  • Individuals with backgrounds in experimental biology are encouraged to apply for the Computational Biologist Postdoctoral Fellow position if they meet these requirements.

TO APPLY

Applicants should email 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 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

Interested applicants should submit an application that includes

  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 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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