We are seeking a talented and highly motivated Associate Computational Scientist interested in understanding the co-evolutionary interactions between cancer and immune cells in the tumor microenvironment. Our lab uses unbiased, high-dimensional technologies to decode the rules of interaction among diverse cell types in the tumor milieu that determine patient outcomes to cancer immunotherapy, primarily in hematologic malignancies.SUMMARY
The primary function of the Associate Computational Scientist is to 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). Impacts clinical and scientific research projects by designing complex technical programs and applications tailored to meet specific clinical and research objectives.Key Functions
Data Analysis: Assists in the analysis and development of formalisms, algorithms and software. With direction, develops and maintains software tools and infrastructure for resolving specific problems. Maintains pipelines for analysis of sequencing data. Prioritize and manage multiple projects in a timely and resource-effective manner. Report research findings (oral and written) at internal, local and national meetings. Apply advanced statistical methods, simulation models, and skilled programming as needed.
Contributions: Contributes to the development of procedures and makes recommendations on new procedures; contributes to intellectual atmosphere through journal clubs, sharing of ideas and constructive feedback on others' presentations, and collaboration.
Marginal Assistance: Keep up to date with immunogenomic literature; contribute intellectually and collaboratively within the laboratory.
Other duties as assigned.COMPETENCIES
Analytical Thinking - Gather relevant information systematically; break down problems into simple components; make sound decisions.
Develop Oneself - Pursue learning and self-development; actively seek feedback; transfer learning into next steps; set high standards of performance; drive for results and achievement.
Oral Communication - Express ideas clearly and concisely in groups and one-to-one conversations; create an environment with open channels of communication.
Team with Others - Initiate, develop, and manage relationships and networks; encourage collaboration and input from all team members; value the contributions of all team members; balance individual and team goals.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 in Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics or related field. Education Preferred: Master's degree in a related field. Three years experience in scientific software development/analysis. With preferred degree, one year of required experience. Experience Preferred: Developing or implementing analysis tools for biological data. Must be highly motivated, reliable, responsible, well organized. Excellent communication skills and ability to work in a collaborative and interdisciplinary environment. 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