Senior Computational Scientist - Dr. Bachireddy's lab

SUMMARY

The primary purpose of the Senior Computational Scientist position is to design and develop computational infrastructure for advanced research and development in numerical analysis, mathematical modeling and data processing techniques. This position will analyze high-dimensional data from high-throughput profiling technologies (bulk and single cell) such as whole exome sequencing and a range of single cell approaches (e.g. RNA/TCR/ATAC/CITE-seq). It will impact clinical and scientific research projects by designing complex technical programs and applications tailored to meet specific clinical and research objectives.

JOB SPECIFIC COMPETENCIES

Designs, analyzes, develops and assists others in the development of formulas, algorithms and software for complex applications in co-evolving leukemic-immune interactions. Is forward-thinking and innovative with comfort and ease with various modeling and machine-learning approaches. Develops and oversees the maintenance of software tools and infrastructure for resolving specific problems. Directs and consults with users and other personnel in laboratory for analyzing, defining and resolving research projects. Develops tools unique to the project at hand. Prioritize and manage multiple projects in a timely and resource-effective manner. Report research findings (oral and written) at internal, local and national meetings. Independent enough to lead computational projects, contribute to written grants and manuscripts, and supervise junior laboratory members. Remain up-to-date on immunogenomic tools.

COMPETENCIES

Analytical Thinking - Gather relevant information systematically; break down problems into simple components; make sound decisions.

Innovative Thinking - Approach problems with curiosity and open-mindedness; offer new ideas, solutions and/or options.

Technical/Functional Expertise - Demonstrate technical proficiency required to do the job; possess up-to-date knowledge in the profession; provide technical expertise to others.

Service Orientation
Provide service to our stakeholders, including patients, caregivers, colleagues and each other, in a safe, courteous, accountable, efficient and innovative manner to include:

• Promoting inclusiveness and collegiality that demonstrates respect and professionalism to our stakeholders at all times
• Modeling safe, ethical behavior that mitigates risk to the institution through sound business practices, and adherence to MD Anderson's Standards of Conduct, institutional policies and procedures
• Responding to requests in a timely manner while proactively communicating expectations for procedures, service arrival, or project deliverables to stakeholders
• Using the steps to HEAL (Hear, Empathize, Address and Learn) the relationship when service recovery is needed.

Bachelor's degree with a concentration in Biomedical Engineering, Physics, Applied Mathematics or related field. Education preferred: Master's degree or PhD with a concentration in Computational Biology, Engineering or related field. Nine years experience in scientific software programming with a concentration in scientific computing. With preferred degree seven years of experience required. Preferred Experience: Proficiency in scripting/statistical computing. Experience manipulating datasets/high performance computing. Familiarity with data normalization/analysis of batch effects. Development of statistical algorithms and comprehensive assessments for analysis. Collaboration with bench biologists, next-generation sequencing analytics, pathway/network analysis, and transcriptional regulator networks. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html