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


Clinical Informatics Specialist III



The Institute for Human Genetics has an open position available for a Clinical Genomic Data Analyst. As part of the Genomic Medicine Initiative (GMI), the person in this position will play a crucial role in analyzing and transforming genomic data to facilitate the interpretation of next-generation whole-exome (WES) and whole-genome (WGS) sequence data for patient care. The Data Analyst will use predictive software and databases relevant to human disease to annotate, filter, visualize, and prioritize variant calls to support clinical review. The Data Analyst will work closely with clinicians to help identify the variant calls most relevant for patient diagnosis.

Applicants must provide evidence of eligibility to work in the U.S.

Required Qualifications

  • MS-Level Scientist in Medical Genetics or Genomics.
  • Understanding of genomics, experience with Illumina sequencing data, and genetic variant analysis, annotation and filtering. An ability to prioritize variant calls using predictive software and databases.
  • Strong communication skills (verbal and written) to communicate effectively on a scientific level with clinical laboratory technicians, bioinformaticians, and clinicians; and to write state-of-the-art scientific reports and papers in a professional manner.
  • Strong Team Member for team-based projects.

Preferred Qualifications

  • Programming knowledge – Bachelor’s Degree or two years of relevant experience.
  • Experience in medical genetics and genomics with analysis of WES and/or WGS data for clinical testing
  • Basic programming skills needed to facilitate data analysis tasks. These may include basic knowledge of a high-level programming language such as Python or Perl; or a data analysis language such as R, and basic knowledge of databases.

Note: Fingerprinting and background check required.

Please apply online at http://ucsfhr.ucsf.edu/careers and refer to Requisition #43863BR


Computational Specialist/Programmer


In an Evolutionary and Computational/Statistical Genomics Lab

The Hernandez Lab at UCSF has an open position available for a computational specialist/programmer. In our computational lab, we use detailed simulations, modeling, and analysis of high throughput genome sequencing data in humans and other mammals.  Research projects in the group focus on developing novel techniques for applying principals of population and evolutionary genomics to medical resequencing studies, analysis of the patterns of global genetic diversity across several whole genome sequencing data sets, quantifying the genetic basis of asthma in admixed populations, and the genomics of host-pathogen interactions. The successful candidate will be expected to work with members of the group to implement and optimize algorithms for various projects, as well as maintain a Linux server.

Basic Qualifications

  • BA/BS/MS in computer science or related computational field.
  • Experience implementing efficient algorithms in a research setting.
  • Proficiency in C/C++ and perl/python.
  • The ideal candidate will also be proficient in managing Linux workstations, familiarity with the Sun Grid Engine queuing system, and ability to write parallelized code (MPI, pthreads, and/or openCL).

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

Applicants should email a short statement on experience and career goals, CV, and the names and email addresses of one-three references as a single pdf file to Ryan Hernandez at ryan.hernandez@ucsf.edu.  Informal inquiries are also welcome.

Genetic Counselor I


We are searching for a full-time Genetic Counselor to join our team as a member of the Program in Prenatal and Pediatric Genome Sequencing (P3EGS) grant at the Institute for Human Genetics, UCSF. This grant is supported by the National Human Genome Research Institute at the National Institutes of Health as part of the Clinical Sequencing Exploratory Research 2 (CSER2) consortium. At UCSF, the P3EGS grant will examine the clinical utility of whole exome sequencing and assess a variety of health-related outcomes in 800 undiagnosed children ages 0-17 from diverse backgrounds (target 75% under-represented minority) over four years. These children will be affected with a variety of structural anomalies and developmental disorders that have a high likelihood of an underlying genetic etiology. Clinical utility measures will be measured as defined in collaboration with other CSER2 sites.

The counselors will be based at UCSF Mission Bay (50% time) and an outside hospital involved in the grant (Benioff Children’s Hospital Oakland or Zuckerberg San Francisco General Hospital; 50% time).

For more information and to apply, visit job 47826BR on the UCSF Human Resources website.

 

Genetic Counselor II


We are searching for a full-time Genetic Counselor to join our team as a member of the Program in Prenatal and Pediatric Genome Sequencing (P3EGS) grant at the Institute for Human Genetics, UCSF. This grant is supported by the National Human Genome Research Institute at the National Institutes of Health as part of the Clinical Sequencing Exploratory Research 2 (CSER2) consortium. At UCSF, the P3EGS grant will examine the clinical utility of whole exome sequencing and assess a variety of health-related outcomes in 800 undiagnosed children ages 0-17 from diverse backgrounds (target 75% under-represented minority) over four years. These children will be affected with a variety of structural anomalies and developmental disorders that have a high likelihood of an underlying genetic etiology. Clinical utility measures will be measured as defined in collaboration with other CSER2 sites.

The counselors will be based at UCSF Mission Bay (50% time) and an outside hospital involved in the grant (Benioff Children’s Hospital Oakland or Zuckerberg San Francisco General Hospital; 50% time).

For more information and to apply, visit job 47827BR on the UCSF Human Resources website.


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: http://pharm.ucsf.edu/burchard.

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 Opportunities in Computational Genetics and Genomics


A postdoctoral position is available in the genetics research group of Dr. Noah Zaitlen, a faculty member in the Department of Medicine at UCSF. The fellow will work closely with Dr. Zaitlen, with other quantitative PhDs in his group, and with collaborators at UCSF and other leading research institutions.

Questions that we aim to answer include

  1. How can we leverage gene-expression, meta-genomic, and clinical data such as age, BMI, and smoking status, to better understand the genetic basis of complex phenotypes?
  2. What are the relative contributions of additive, dominance, and non-linear genetic interaction to human disease and what does this tell us about the biology of complex phenotypes?
  3. What is the most powerful way to analyze genetic data from admixed populations such as African-Americans and Latinos, and can the multiple ancestral backgrounds in these populations improve our ability to identify causal variants?

Exceedingly strong quantitative research background; practical experience working with large real-world genetic data sets, developing new methods, and producing high-quality published work. Preference will be given to candidates with degrees in computer science or other applied quantitative fields.

Please send a brief statement of interest, CV, contact information for at least 3 references, and one sample publication to Noah Zaitlen at noah.zaitlen@ucsf.edu

Postdoctoral Positions in Computational/Evolutionary Genomics


The Hernandez Lab at UCSF has two postdoctoral positions available. The research projects are flexible, and will focus on the particular interests of the candidates. Research projects will likely focus on developing novel techniques for applying principals of population and evolutionary genomics to medical resequencing studies.  Ongoing collaborations involve comprehensive studies of patterns of global genetic diversity as part of several whole genome sequencing projects, the genetic basis of asthma in admixed populations, and the genomics of host-pathogen interactions.  Successful candidates will be expected to develop novel computational/statistical methods for addressing specific biological hypotheses, and to perform analyses of large-scale genomics data. Ideal candidates will have a background in a quantitative field (such as computer science, statistics, applied mathematics, bioinformatics, or related), experience in performing genetics/genomics research, and a strong track-record of accomplishment in research.

Basic Qualifications

  • PhD in bioinformatics, computer science, statistics, genetics, molecular biology, applied mathematics, or a related field.
  • Research experience (with first-author publications) in population genetics or a related field.
  • Proficiency in programming, ideally in C or C++, scripting languages such as perl/python, and familiarity with R.
  • Comfortable with large data sets, computer clusters, and databases.

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

Applicants should send a short research statement (including past, present, and future goals), CV, and the names and email addresses of at least two references as a single pdf file to Ryan Hernandez at ryan.hernandez@ucsf.edu.  Informal inquiries are also welcome.

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 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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