Senior Data Scientist II, Real World Evidence

Tempus, Inc.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Ein innovatives Unternehmen sucht einen erfahrenen Senior Data Scientist im Bereich Real World Evidence, um die Gesundheitsversorgung durch datengestützte Erkenntnisse zu revolutionieren. In dieser spannenden Rolle werden Sie mit führenden Pharmaunternehmen zusammenarbeiten, um fortschrittliche Analysen durchzuführen und maschinelles Lernen anzuwenden. Sie werden die Möglichkeit haben, Ihre Fähigkeiten im Bereich Biostatistik und epidemiologische Studien zu nutzen, um echte Auswirkungen auf die Patientenversorgung zu erzielen. Wenn Sie leidenschaftlich daran interessiert sind, die Gesundheitsbranche zu verbessern und über umfangreiche Erfahrung im Umgang mit realen Gesundheitsdaten verfügen, ist dies die perfekte Gelegenheit für Sie.

Benefits

Incentive Compensation

Restricted Stock Units

Medizinische Leistungen

Flexible Arbeitszeiten

Mitarbeiterrabatte

Qualifications

• Erfahrung in der Analyse von realen Gesundheitsdaten.
• Fähigkeit zur Präsentation komplexer Daten für nicht-technische Stakeholder.

Responsibilities

• Leitung von Analysen für RWE-Studien mit pharmazeutischen Partnern.
• Mentoring von Junior-Kollegen und Verbesserung der Teamfähigkeiten.

Skills

Epidemiologie

Biostatistik

Datenwissenschaft

Maschinelles Lernen

SQL

R

Projektmanagement

Kommunikationsfähigkeiten

Education

PhD in Epidemiologie oder Biostatistik

Master in Public Health

Tools

AWS

Google Cloud Platform (GCP)

Git

GitHub

Job description

Senior Data Scientist, Real World Evidence

Boston, MA, New York City, NY, Redwood City, CA, Chicago, IL

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

The Real World Evidence (RWE) group within the Pharma R&D team at Tempus works with pharmaceutical partners to provide best-in-class data, analysis, and methodological guidance to Tempus’s real-world data offering. We are seeking a highly motivated and solutions-oriented Sr. Data Scientist, RWE with experience and interest in oncology and clinical/epidemiological study design and execution to join our team. Top candidates will have experience working with observational healthcare or clinical trial data, and expertise in biostatistics, epidemiology, and/or real-world data analytics.

Responsibilities:

• Spearhead analyses of Tempus data for RWE studies in collaboration with major pharmaceutical partners.
• Advance Tempus' offerings to pharmaceutical partners by leading projects that incorporate cutting-edge machine learning and artificial intelligence techniques.
• Execute advanced coding and derive real-world endpoints, demonstrating a deep understanding of Tempus' molecular and clinical datasets.
• Provide mentorship to junior colleagues on technical skills, fostering their professional growth and enhancing team capabilities.
• Analyze and interpret RWE study results to draw appropriate inferences, considering study design and statistical methodologies, while also assessing study limitations.
• Articulate research findings to external Pharma partners' RWE and clinical teams, offering strategic insights and recommendations.
• Collaborate with internal teams, including engineering, oncology, bioinformatics, and clinical abstraction, to continuously improve Tempus data quality, products, and analytical best practices.
• Stay on top of the latest methodological advancements in real-world studies and oncology guidelines (NCCN and ongoing clinical trials), ensuring alignment with the evolving oncology landscape within Tempus’ database.
• Ensure compliance with all relevant regulations and company procedures.

Minimum Qualifications:

• Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:
• PhD and 4+ years of additional work experience
• Master’s degree and 6+ years of additional work experience
• Extensive experience with observational real-world healthcare data, including proficiency in time-to-event analytical methodologies.
• Applicable knowledge of machine learning and statistical modeling.
• Demonstrated success in leading RWD analytical studies.
• Proficient in using R and SQL, with a strong command of statistical tools and packages.
• Proven track record of mentoring junior colleagues.
• Experience interfacing with external stakeholders, with the ability to present and tailor messaging to diverse stakeholders.
• Thrive in a fast-paced environment with exceptional project management skills.
• A collaborative mindset, with proven ability to work with teams of multi-disciplinary scientists to define and execute analysis plans
• Adept at navigating and solving large, complex problems.
• Excellent written and oral communication skills, including a demonstrated ability to communicate technical concepts to non-technical stakeholders.
• Eagerness to learn, driven to make a positive impact in healthcare, and a steadfast dedication to maintaining integrity in all endeavors.

Beneficial:

• Experience working with Pharma or drug development.
• Experience of phase II-IV clinical trials.
• Analytical expertise with claims, EHR, or registry data.
• Biological or medical knowledge (e.g. Oncology, Immunology, or Human Disease).
• Experience with biomarker or molecular data e.g. genomics.
• Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP).
• Experience producing code in a collaborative environment, using Git, Github, and code reviews.
• Experience with R package development.

#LI-GL1

The expected salary range below is applicable if the role is performed from [New York] and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits, depending on the position.

New York Pay Range

$140,000 - $190,000 USD

The expected salary range below is applicable if the role is performed from [California] and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits, depending on the position.

$140,000 - $190,000 USD

The expected salary range below is applicable if the role is performed from [Illinois] and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits, depending on the position.

$130,000 - $175,000 USD

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Additionally,for remote roles open to individuals in unincorporated Los Angeles – including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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