Manager , Data Analytics

Location

Bangalore | India

Job description

• ConcertAI is a fast-growing healthcare research organization, leading the market in oncology healthcare data analytics

• Our dynamic, fun, and highly experienced team is looking for a manager to join us
• As manager in the Real-World Evidence Sciences (RWES) business unit, you will be responsible for statistical oversight of studies conducted using ConcertAI s industry-leading and cutting-edge healthcare data resources
• Our team operates in a cross-functional environment with representatives from other functions such as our Scientific Management, Data Curation, Data Products, and Data Science business units
• As a manager on our team, you will be reporting to a Senior Director in the RWES business unit
• You will provide high-quality analyses and summaries for health economics and outcomes research (HEOR) and external control arm (ECA) clinical studies
• Your responsibilities will involve establishing clinical and statistical standards and overseeing their implementation on research projects dedicated to improving our understanding of the patient journey and treatment outcomes in the oncology space, as well as making meaningful impacts on patients lives
• Managers will indirectly or directly supervise a team of other statisticians , such as Statistical Analysts or Senior Statistical Analysts
• Managers will also participate in data quality control and review results
• The managers will contribute to and support corporate goals to progress the company s portfolio of products

Responsibilities

• This role will collaborate with the more customer-facing US Biostatistics team to support RWES projects and data deliveries . This role is less client-facing than the US Biostatistics Team.
• 70% of the manager s time will be spent in hands-on ownership of his/her project assignments , and 30% of the manager s time will be spent managing the team and overseeing the projects of his/her direct reports.
• A significant responsibility of this manager is to oversee the conversion of legacy SAS processes and code into scaled and automated Python Code.
• Mentoring ConcertAI analysts in migrating from SAS to Python
• This managers significant responsibility is overseeing the development of standard, efficient , and semi-automated processes for creating custom research-grade datasets sold to pharmaceutical companies.
• Assists in developing scopes of work , including project budgets and timelines related to biostatistics and data management.
• Reviews study proposals for appropriateness of research design, sample size, and planned analysis.
• Collaborates with Project Managers, Principal Investigators, and other scientific staff to design appropriate study analyses based on project scope and client objectives.
• Leads the development of Statistical Analysis Plans (SAPs) to define eligibility criteria, study measures, and statistical methodologies.
• Creates data structures by determining patient or disease cohorts, establishing study samples, and structuring data files according to research objectives and study design.
• Prepares analysis-ready data by loading, extracting, and transforming data in several databases, as well as searching in schemas, cleaning outbound files, and merging data tables.
• Executes quality control checks of data for anomalies, frequency, and distribution of data points for accuracy and consistency; determines root causes of errors, recommends solutions, and resolves data issues through queries and programming scripts.
• Performs statistical analysis following SAPs and generates analytic reports, tables, graphics, and slides.
• Leads the development of methodology and results sections of study deliverables such as protocols, summary reports, abstracts, and manuscripts to ensure the accuracy of the programming and statistical descriptions.
• Interfaces with Scientific Management and Data Curation team to clarify data requests, extract data sets, and review case report forms, as well as the Data Operations team to assemble and clean data sets.
• Joins client meetings and leads the discussion of findings as a statistical methods expert on assigned projects.
• Assists in hiring, training, and mentoring staff and conducts personnel evaluations of direct reports following standard ConcertAI processes.
• Tracks the biostatistical and data management components of study progress for direct reports to ensure timely completion of project milestones.
• Follows company policy and procedures regarding quality control, data security, the ethical conduct of research involving human subjects, and the provisions of the HIPAA security and privacy rules.
• Participates in other projects as assigned , including statistical support roles, and contributing to internal initiatives.

Requirements

• Doctoral degree and three years of related programming and statistical experience, or master s degree and five years of related programming and statistical experience with an area of study in quantitative science such as Statistics, Biostatistics, Analytics, Biometrics, Econometrics, Psychometrics, Operations Research, Engineering, or Data Science.
• Expert e xpertise in SQL and Python
• Proficiency with a second programming language such as R or another language.
• Expertise using statistical methodology and advanced mathematical concepts such as ANOVA, linear regression, mixed models, time-to-event analyses, correlation analysis, sampling theory, analysis of categorical data, and appropriate transformations and permutations .
• Ability to collaborate on multiple projects and deadlines, establish priorities for work activity, and solve practical problems.
• Exceptional verbal and written communication skills with a proven ability to clearly and convincingly present information to a wide range of internal and external audiences.
• Experience overseeing and implementing version control and peer coding review best practices.
• Aptitude for understanding and applying best practices from documents such as safety rules, operating and maintenance instructions, procedure manuals, and correspondence.
• Familiarity with basic productivity software (e.g., Microsoft Excel, Microsoft Word, Web Conferencing Applications).
• Detail-oriented, highly motivated, results-driven, and flexible to work in a scaling environment

Consideration will be given to applicants with the following qualifications:

• Background in leading scientific research studies , including overseeing design and methodology, data analysis, and statistical programming using patient-level datasets.
• Proficiency with a third programming language , such as R or another language.
• Experience in converting SAS programs into Python.
• Prior supervisory roles with responsibilities involving hiring, training, and mentoring staff.
• Experience managing client relationships during the business development and execution phases of a project lifecycle.
• Research history within the oncology space related to one or more specific solid tumor types or to hematological malignancies.
• Working knowledge of external control arms or other use cases of real-world evidence to support regulatory decision-making.
• Publication track record.

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