Director, Data Sciences

Epic Sciences, Inc. is developing novel diagnostics to personalize and advance the treatment and management of cancer. Epic’s mission is to enable the rapid and non-invasive detection of genetic and molecular changes in cancer throughout a patient’s journey. The company was founded on a powerful platform to identify and characterize rare cells, including circulating tumor cells (CTCs). Our unique approach—which is focused on comprehensive cancer profiling and combining CTC and ctDNA technology—helps match patients to targeted therapies and monitor for drug resistance, so that the best treatment path can be chosen at every clinical decision point. Today, we partner with leading pharmaceutical companies and major cancer centers around the world. Epic’s goal is to commercialize our technology to increase the success rate of cancer drugs in clinical trials and improve patient outcomes by providing physicians real-time information to guide treatment choices.
SUMMARY: 
The Director must possess deep expertise in computational biology relevant to translational R&D and have extensive knowledge in cancer biology and demonstrate a thorough understanding of computer vision as a discipline. The successful person in this role will need to be able to participate in both strategic and tactical planning for the function and be able to identify opportunities to improve effectiveness and efficiency. The Director will interface with scientific leaders and work collaboratively with marketing, bench scientists, genomics, clinical operations, platform team and computer vision engineers to develop better cancer diagnostic tests for monitoring and stratifying treatment options. The Director will function as a subject matter expert and participate in cross-functional teams. As possible, the director will explore relevant scientific topics to help shape strategic decisions at the organizational level by helping to match company capabilities against unmet medical needs.
ELEMENTS:
Education/Experience: The position typically requires a Ph.D. in a quantitative discipline with >7 years of experience in a diagnostic environment, with strong knowledge in cancer biology. Experience in scientific writing and working with immunoassays and molecular diagnostics is required. Experience in spearheading an operational program from research to commercial results is strongly preferred. 
Communication Skill: Exceptional managerial skills, the ability to either contribute to or draft scientific documents suitable for publication, the ability to work effectively with both internal and external audiences to analyze, interpret, and summarize data both orally and in writing. May act as a spokesperson for Epic at external conferences.
Interpersonal Skill: Works effectively as an individual and demonstrates significant competence providing leadership and direction to a team; can manage relationships with external customers effectively. The ability to interface effectively with scientific leaders and be the spokesperson for data sciences in cross-functional teams.
 Judgment: Provides strategic insight re: problem solving by offering novel approaches and incorporating new technologies, ability to design and lead (research, analyze data, interpret results, and provide summaries of same) projects and carry them to completion against a timeline.
Execution: Highly efficient at time management and prioritization; able to help the group establish timelines to accomplish complex tasks; ability to troubleshoot problems and generate effective solutions, ability to lead a team and provide feedback as appropriate; will be a member of cross functional teams and provide counsel and guidance re: possible strategic decisions.
ESSENTIAL FUNCTIONS:

• Lead the development of algorithms for analysis of vast number of studies across various data types and platforms for translational research and clinical applications.
• Apply best practice computational methods to analyze large-scale biological data (eg. NGS data), such as gene expression, copy-number, mutation, methylation, etc. in a fast-paced translational research and product development environment.
• Design and develop Bioinformatic pipelines to analyze single cell and cell-free genomic data, address novel analytical challenges and to automate established analysis so that studies can be analyzed in a robust manner.
• In conjunction with the hiring manager, help guide biomarker discovery research projects to generate data that justify and/or inform the collection and analysis of clinical specimens.
• Develop and assist in documentation of novel IP related to biomarker discoveries.

ADDITIONAL DUTIES:
May perform additional duties as assigned or directed by management from time to time.
PHYSICAL DEMANDS:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to sit. The employee is occasionally required to stand, walk; use hands to finger, handle, or feel and reach with hands and arms.
• The employee must occasionally lift and/or move up to 25 pounds.
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.
• Transition from standing and sitting often.

WORK ENVIRONMENT:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• General office environment. Daily exposure to PCs and networks.
• The noise level in the work environment is usually moderate.

Disclaimer:
The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Epic Sciences is an Equal Opportunity Employer and committed to the principle of diversity.