Computational and Data Sci Researcher (Wingo) - CMPTL AND DATA SCI RSCH SPEC 4 Job Listing at University of California in Davis, CA (Job ID 67703)

Description

Job Summary

The Wingo Lab seeks a highly motivated candidate with experience across a range of IT domains including software development, software deployment, system architecture, distributed computing, systems administration, and analytic skills. The ideal candidate will be proficient using rented or on-premises computing infrastructure. They will also be expert in designing on-premises computing solutions and using high performance computing. A strong background in systems administration, proficiency in two or more scripting language (e.g., bash, perl, python), and knowledge for deploying software securely at scale. A critical facet of the position will be data management, so evidence of meticulous record keeping and clear/concise communication are essential. We value individuals who are objective oriented and who want to learn and teach new skills. The candidate must be able to work independently with minimal guidance.

The Wingo Lab is an interdisciplinary collaborative research group of highly successful investigators that spans psychiatry, neurology, biostatistics, bioinformatics, genetics, biochemistry, and neuroscience. The candidate will work independently on a range of projects for stakeholders which include principal investigators, data scientists, and developers. Projects include: 1) develop and maintain infrastructure for performing large scale analysis of genetic, proteomic, and transcriptomic data; 2) automate cost-effective backup solutions and organization of data; 3) architect and deploy internal and public-facing applications; 4) implement analysis pipelines; 5) project management, especially the computational resources and data.

Apply By Date

5/1/2024 at 11:59pm

Minimum Qualifications

For full consideration applicants are encouraged to upload license and certification if required of the position. 

• BS with 5+ years or MS with 4+ years or PhD with 2+ years of applicable experience is expected.
• Degree(s) should be in a technical discipline such as Computer Science, Engineering, Statistics, Physics, Mathematics, or other related fields.
• Demonstrated ability to propose, initiate, and carry out ambitious data-intensive research projects.
• Self-motivated and works well both independently and as part of a team.
• Strong collaboration skills with highly technical researchers and ability to engage across a variety of methodological fields (e.g., computer science, mathematics, and statistics), computational platforms, and ideally, research domains (e.g., health sciences, life sciences, social sciences, and medicine).
• Excellent and demonstrated ability to regularly, effectively communicate with management teams.
• Ability to communicate data insights that translate into significant impact in a clear and effective manner to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
• In depth skills and experience with independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.
• Ability to curate/clean/organize large and messy datasets; to write code to query and transform both unstructured and structured data.
• Strong programming skills in scripting languages such as Python, Perl, Ruby; Java/Scala, and SQL and comfort with advanced analytics tools such as R, Spark, and/or Tableau, in addition to in programming languages (e.g. C/C++).
• Proficiency with Linux administration, shell scripting. Proficiency with Amazon web (or similar) services for distributed computing. Proficiency with high performance computing and system architecture, Experience with JavaScript, Rust, Go, or C.
• Fluent in using scientific computing environments, e.g. HPC cluster (CPUs and GPUs) or cloud (AWS, Azure, Google, Salesforce, IBM, or VMWare).
• Highly advanced skills, and extensive experience associated multiple of the following: data modeling; data mining; mathematical modeling; artificial intelligence; machine learning; deep learning models (e.g., 2/3d CNN, LSTM/GRU), architecture (e.g., Resnet, U-net), and frameworks (e.g.,Tensorflow, pytorch, keras); natural language processing; knowledge graphs; reinforcement learning; data representation, and optimization.

Preferred Qualifications

• Experience working in health and biomedical sectors preferred, but not required.

Department Description

The Department of Neurology conducts basic and clinical research on the nervous system and provides clinical care for people with neurological disorders, such as Alzheimer's disease and other forms of dementia, epilepsy, movement disorders like Parkinson's and Huntington's diseases, tremor, dystonia, multiple sclerosis, neuromuscular conditions, headache and sleep disorders.

Our faculty includes leading neuroscientists, who work to expand our knowledge of nervous system function, as well as neurologists and psychologists who provide diagnosis and treatment for adults and children. We partner with colleagues from throughout the health system and work closely with the Department of Neurological Surgery to provide multidisciplinary team management for neurological disorders. We also offer cutting-edge diagnostic approaches, including advanced neuroimaging technologies and access to trials of new medications and other therapeutic modalities.

Position Information

• Salary or Pay Range: $8,625.00 to $18,041.67
• Salary Frequency: Monthly
• Salary Grade: 26
• Payroll Title: CMPTL AND DATA SCI RSCH SPEC 4
• Number of Positions: 1
• Appointment Type: Career
• Percentage of Time: 100%
• Shift Hours: 8 Hour
• Location: Cannery Business Park
• Union Representation: No
• Benefits Eligible: Yes
• Hybrid/Remote/On-Site: Remote
• THIS IS NOT AN H1- B OPPORTUNITY  

Benefits

Outstanding benefits and perks are among the many rewards of working for the University of California. UC Davis Health offers a full range of benefits, resources and programs to help you bring your best self to work, as well as to help you and your family achieve your health, wellness, financial and career goals. Learn more about the benefits below and eligibility rules by visiting our handy Benefits Summary and our Benefits Page

• High quality and low-cost medical plans to choose from to fit your family's needs
• UC pays for Dental and Vision insurance premiums for you and your family
• Extensive leave benefits including Pregnancy and Parental Leave, Family & Medical Leave
• 14 paid Holidays annually
• Paid Time Off begins at 24 days accrued per year
• Sick Leave
• Continuing Education (CE) allowance and Education Reimbursement Program
• Access to free professional development courses and learning opportunities for personal and professional growth
• WorkLife and Wellness program and resources
• On-site Employee Assistance Program including access to free mental health services
• Supplemental insurance offered including additional life, short/long term disability, pet insurance and legal coverage
• Public Service Loan Forgiveness (PSFL) Qualified Employer & Student Loan Repayment Assistance Program for qualified roles
• Retirement benefit options for eligible roles including Pension and other Retirement Saving Plans. More information on our retirement benefits can be found here
• UC Davis cares about building a community, which is why we provide resources to enhance diversity, equity and inclusion as well as Employee Resource Groups (ERGs) to support our staff

Special Requirements

• This position is a critical position and subject to a background check. Employment is contingent upon successful completion of background investigation including criminal history and identity checks.
• As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time.  Federal, state, or local public health directives may impose additional requirements.  

Diversity, Equity, Inclusion and Belonging 

At UC Davis, we're solving life's most urgent challenges to bring a fuller, healthier, and more resilient world within reach. We grow from every challenge we take on and we don't just maintain - we improve. We recognize that creating an inclusive and intellectually vibrant organization means understanding and valuing both our individual differences and our common ground. The most comprehensive solutions come from the most diverse minds, and you belong here. As you consider joining UC Davis, please explore our Principles of Community, our Clinical Strategic Plan and strategic vision for research and education, and our latest efforts to outgrow the expected. The University of California, Davis is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the University of California's Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20. 

For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

Because we want you to be seen, our recruiting process at UC Davis fosters authenticity, diversity, and inclusion. Studies have shown that some people may not apply to jobs unless they meet every single qualification. Each unique role at UC Davis has a set of requirements and you could be perfect for this role, or you could be perfect for the next role! Don't meet all the requirements? We still encourage you to apply! #YouBelongHere

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