ABOUT US
At COTA, our vision is for data-driven cancer care to become the standard across healthcare. We believe that everyone touched by cancer deserves a clear path to care. Together, we can make that vision a reality.
We’re searching for smart, motivated people who share our passion for bringing clarity to cancer. Connect with us, introduce yourself, and apply to one of our current openings.
PERKS
Working at COTA comes with many perks! At COTA, we are committed to workplace wellness and employee happiness. Some of the benefits for working full-time at COTA include:
- Medical / dental / vision benefits
- 401k Match / retirement
- Monthly commuter benefits
- Annual bonus
- Stock option grants
- Flexible Fridays
- Quarterly COTA Wellness days
- Unlimited paid time off
- Paid sick time - 40 hrs/year
- 11 paid holidays per year
- Paid Parental leave
- Company team building events
- Educational lunch & learns
- Cause-driven employees
- Fun and productive culture
- Employee-led DEIB committee
- Healthy snacks
- Gourmet coffee and cold brew
LOCATION: New York, NY
OVERVIEW
As a Research Data Analyst, you will collaborate with statisticians, clinicians, and life science partners to execute research analyses. In addition, you will help to enhance our research product offerings. This position requires a person who is naturally curious, has familiarity with various analytic tools, and enjoys solving new problems. In addition, you should be able to continually unearth and present interesting trends that have clinical, research, and business importance for our customers and oncology patients at large. You will be joining a friendly, high performing and diverse research team with backgrounds in public health, health economics, biology, and statistics.
WHAT WILL YOU GAIN
- Experience analyzing oncology real-world data
- Learning and implementing advanced statistical methodologies
- Confidence by owning end-to-end analyses, including drafting protocols and statistical analyses plans, executing analyses, and disseminating results to various audiences
WHAT TO EXPECT IN YOUR FIRST YEAR AT COTA:
In thirty days, you will:
- Familiarize yourself with COTA’s research product offerings
- Begin exploring COTA’s data model and standard analysis template
In three months, you will:
- Ramp-up on oncology domain knowledge and healthcare analytic techniques and statistical methodologies
In six months, you will:
- Become a subject matter expert on COTA’s data model
- Partner with the operations, engineering, and clinical teams to define analytic requirements, enhance data quality, and deliver publication-caliber analysis
In one year, you will:
- Be executing analyses for life science and healthcare provider partners with minimal oversight
HOW YOU WILL IMPACT COTA
- Collaborate with physicians, statisticians, data scientists, business leaders, and others within and outside COTA to conduct research projects, including observational studies, pharmacoeconomic analyses and other relevant study types
- Develop real-world-data analytic products for the oncology space
- Partner with the operations, engineering, and clinical teams to define analytic requirements, enhance data quality, and deliver publication- caliber analysis
- Become an expert on our data model; confidently representing our data capabilities to other teams as well as external partners. In time, suggest & implement improvements to our data model based on business needs and client feedback
WHAT YOU BRING TO THE TABLE
- Masters degree in computer science, statistics, applied math, econometrics or similar quantitative field with prior research/internship experience
- Curiosity, collaborative spirit, intellectual humility, and time management ability
- Solid foundational knowledge of descriptive and predictive statistics
- Working knowledge of statistical programming (primarily R), SQL, version control, data maintenance, and other relevant computational techniques and processes
- Passion for data quality and ability to clearly communicate and evangelize its importance to internal and external partners
- Collaborative self-starter attitude. COTA has a startup environment and you will be working cross-functionally daily with data scientists, engineers, medical professionals, and business professionals.
NICE TO HAVE
- Background in biology, oncology, or public health
- Understanding of real-world data sourced from EHR
- 2+ years of analytic work experience in the healthcare space
- Research experience in oncology, genomics or bioinformatics
Salary: $75,000-85,000
At COTA, we are passionate about creating an inclusive workplace that celebrates and values diversity with the belief that it drives our innovation. Our commitment to diversity and inclusion is a guiding principle on how we build teams and develop leaders. As part of our commitment to building a respectful culture that encourages, develops and celebrates different backgrounds, experiences, abilities and perspectives all qualified applicants will receive consideration for employment without regard to race, color, religion, culture, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or other applicable legally protected characteristics. All employment decisions, including decisions to hire and promote, will be based on merit, competence, business need and performance.
We are a proud equal opportunity employer.
All employees who work from or enter COTA's office location or attend company events or meetings in-person must be fully vaccinated unless an exemption applies.
“NOTICE OF COLLECTION OF APPLICANT PERSONAL INFORMATION UNDER THE CALIFORNIA CONSUMER PROTECTION ACT (CCPA)
This Notice applies only to the collection of personal information from California residents on and from January 1, 2020. Cota (“we”) is committed to maintaining the privacy and security of our job applicants’ personal information. In connection with your application for employment, we will collect and process personal information that you provide to us or that we obtain through employment agencies, background check agencies, your professional or educational references or other third parties or service providers. This information includes contact information, such as name, email address, telephone number and other identifiers, professional or employment related information, and education information. We may also collect information concerning your protected characteristics if voluntarily provided by you. We will use your personal information and share it with third parties solely for purposes of considering your application for employment, and should you be hired, in connection with your employment.”
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