Research Associate

Date: February 20, 2019

Title: Research Associate

Department: Urology

School: School of Medicine, CWRU

Location: School of Medicine, Main Campus, Wood Research Tower RTG01

Supervisor Name and Title: Sanjay Gupta, Ph.D., M.S. Professor & Research Director, Urology

 

POSITION OBJECTIVE

The Department of Urology Case Western Reserve University School of Medicine is seeking a highly motivated computational biologist to work with our research team. The primary focus of this position will be on the analysis and interpretation of high-throughput genomic and clinical data, to further our understanding of the biological processes involved in cancer initiation, maintenance, metastasis and resistance to therapy.

A successful candidate having experience on computational and molecular biology techniques, and ability to design experiments, carry out analysis of a wide variety of data and integrate results with current biological knowledge. Regular publication of scientific and methodological results is highly encouraged. The candidate should have extensive experience with data generated by high-throughput molecular assays such as next-generation sequencing, single cell sequencing, epi-genomics technologies such as ChIP-Seq or ATAC-Seq, and/or high-throughput screening data such as pharmacological screening or CRISPR screening. Further, the successful candidate should be able to effectively present complex results in a clear and concise manner — to other scientists as well as to audiences with other scientific backgrounds.

 

ESSENTIAL FUNCTIONS

  • Analyze and interpret high-throughput molecular data (RNA-Seq, microarray, single-cell transcriptomics) in the context of biological problems, in close collaboration with the supervisor and the research team.
  • Integrate high-throughput molecular data with clinical outcome data in accordance to project aims.
  • Work on the bench with various assays/protocols for validation.
  • Independently carry out projects relevant to the research interest of the laboratory with the general supervision of the Principal Investigator
  • Develop and maintain software of in-house computational tools.
  • Contribute to publications in high-quality scientific, technical, and medical journals.

 

NONESSENTIAL FUNCTIONS

  • Experience in the analysis, visualization, and interpretation of high-throughput data.
  • Outstanding skills in problem-solving, communication, and collaboration with researchers and/or clinical scientists.
  • Perform other duties as assigned.

 

CONTACTS

This section is important in rating the position, so please give it thought and consideration when developing the position description. Indicate who the incumbent will have contact with (i.e., department staff, students, potential donors), the frequency (i.e., infrequent (up to 5%), occasional (6-15%), moderate (16-30%), regular (31-45%), frequent (46-65%), and continuous (66+%) and for what purpose (i.e., provide information, resolve complaints, solicit donations).

Department: Daily contact with PI and laboratory staff to discuss research work.

University: Occasional contact with other departments to exchange project information, shared equipment.

External: Limited contact with vendors to exchange information

Students: Frequent contact with student employees and trainees to explain techniques

 

SUPERVISORY RESPONSIBILITY

No direct supervisory responsibility.

 

QUALIFICATIONS

Experience: Ph.D. in a relevant field (such as computational biology, systems biology, bioinformatics, genomics, statistics, computer science, cancer/basic biology, etc.).

Education/Licensing: Masters in above relevant field.

 

REQUIRED SKILLS

  • Experience applying quantitative methods to scientific research.
  • Experience with biology lab work, especially in molecular biology.
  • Familiarity with cloud or cluster computing and experience working on programs such as DAVID, Ingenuity, GEO database/profile.
  • Expertise in molecular biology, genomics, and/or epigenetics.
  • Proficiency in Microsoft Office applications, database applications, and with internet navigation.
  • Strong communication, data presentation and visualization skills. Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
  • Strong organization skills; ability to multi-task, prioritize and meet deadlines.  Must demonstrate attention to detail and accuracy, time management skills, and follow-through.  
  • Effective problem-solving skills; must demonstrate excellent analytical skills, sound judgment and good decision-making. 
  • Must demonstrate flexibility and ability to work under pressure; must be able and willing to work in a fast-paced, changing environment, and conform to shifting priorities, demands and timeline. 
  • Must demonstrate eagerness to learn new techniques, procedures, processes, and computer programs as needed.

 

 

WORKING CONDITIONS

Laboratory based research and data analysis, use of computers and softwares to complete assigned tasks. May have exposure to hazards such as animals, chemicals, and select agents.

 

DIVERSITY STATEMENT

In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity.  Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply

 

Qualified applicants should send their CV to Sanjay Gupta at gxs44@case.edu