Epidemiologist (PhD/Real World Data/SQL/R/SAS/Oncology/Claims/EHR Data)

This role will be 100 % remote We’d like the candidates to have longitudinal patient level data analysis experience like health insurance claims and electronic health records in oncology using SQL, SAS or R. Experience Level = 1-3 Years Candidate can be any where with in US Shift: 9:00 AM -4:00 PM CST (Should be available for meetings and discussion) Part of epidemiology data analysis team Manager's update

• Looking for someone with advanced programming language and oncology area/data
• SQL sas and R programming
• Support Oncology and epidemiology
• Support specially oncology
• Advanced or intermediate oncology skills
• Directly working with stakeholders of the oncology group
• Working on analytics data
• Working with abstract and manuscript
• Phd is really preferred with 2 to 3 years if experience
• This is not SAS programmer role this is epi role
• Working publication and abstracts
• SQL coding sas is a have
• R programming is plus
• Some experience in Claims, EHR
• 2 to 3 projects or 2 to years of experience
• Supporting the Oncology department, worked with stakeholders, Oncology epidemiology group
• Position is more focused on coding and data analytics
• The candidate will do coding and data analytics work
• Not looking for specific numbers of publications
• PHARMD or MD degree will also work if from another country
• Epidemiology or health side degree
• Work in the Epidemiology department
• Collaborate with stakeholders
• Listen to others and share the suggestion
• epidemiology or HEOR is must have
• A candidate with oncology is really preferred
• Data system experience
• Industry experience is not required
• Any experience with academia or CRO experience
• Sas certification is not required
• Database experience (AI data, quota data, another EHR data) then it will be considered

Top skills

• Proficient with programming language: SQL, SAS and R
• Masters or PhD degree (exp: 2 yrs with masters)
• know real world data (claims, EHR or registry data)

Description

• SQL, SAS, R programming exp needed
• Fresh PhD grads will also work
• Looking for someone interested in quantative research
• If a candidate has worked as a epidemiologist and has worked on claims and EHR data but has a degree in bioinformatics or any other filed then that will work
• Master’s or PhD in quantative health outcomes research / PhD/MD/PharmD with experience in the field of epidemiology, outcomes research, public health, heath care service, pharmacy administration, pharmacoepidemiology or health economics, pharmaceutical economics degree or related discipline
• SQL and SAS to do analysis
• Will work on Claims and electronic health records
• Use all data that have been loaded in-house
• R programming exp
• Not looking for pure programmer / Statistics / Biostatistics’ individual
• Not looking for statics or biostatistics degree
• Master’s with more yrs exp needed
• Therapeutic area: immunology, oncology, neuroscience
• Claims and electronic health data exp needed (use real world data)

Job Description: Major responsibilities include a) contributing to data analysis plan documentation and management and systematic programming approach to derive clinical variables and outcomes from real-world data;

• Operationalizing relevant clinical variables and measures with minimal technical oversight;
• Preparing relevant tables and figures and contributing to the interpretation of results;
• Understanding strengths and weaknesses of specific databases;
• Delivering data analysis results and findings to epidemiologists or cross-functional members as necessary.

This person should be able to do comprehensive literature reviews for real-world data methodology and coding algorithms, and provide insights into real-world data, analysis tools, and epidemiology study concepts and protocols/proposals. Responsibilities:

• Understand general to advanced epidemiology research techniques and apply appropriate research methods to answer research questions relating to drug safety
• Perform SAS programming at an advanced level to operationalize clinical concepts and measures in oncology
• Contribute to the design of observational studies using real-world data through data exploration
• Document and manage data analysis plan and analyze specific epidemiology databases to prepare results in relevant tables, figures, and visualizations
• Do comprehensive literature review for analytics methodology and coding algorithms related to real-world data
• Communicate with RWD vendors to coordinate questions for technical support on analytic and data quality issues for RWD sources that are in-licensed by Client.
• Act as a knowledge developer, creating a repository of best practices around RWD, establish design principles and standards to ensure consistency across analytical work projects
• Anticipate and communicate potential issues that could impact timelines or quality and propose solutions to mitigate these risks.

Experience/Skills:

• MPH or MS degree in Epidemiology, biostatistics or related field. Ph.D. is preferred.
• With 4-5 years of epidemiology and/or public health experience with a Master degree or 1-2 years of experience with a Ph.D. degree. Pharmaceutical industry experience is preferred.
• Proficient with SAS, SQL, R, or related statistical software or other data analysis tools for data analysis, modeling, and visualization.
• SAS Advanced Programming certificate is preferred
• Familiar with real-world data (e.g. oncology EMRs, health insurance claims) concepts and structures. Extensive experience in manipulating and analyzing these databases is required.
• Knowledge and experience in data analysis in oncology is strongly preferred.
• Generate tables, listings, and graphs for compound projects.
• Responsible for the validation and quality assurance of any output produced.
• Generate and review validated table, listings, and graph output meeting the needs of Clinical Projects. Prefer candidate with clinical experience.
• SAS program experience required.

Experience Level = 3-5 Years Job Type: Contract Pay: $56.00 - $58.00 per hour Benefits:

• Flexible schedule
• Health insurance
• Life insurance
• Paid sick time
• Paid time off

Education:

• Doctorate (Preferred)

Experience:

• Real world data analysis: 5 years (Preferred)
• epidemiologist: 5 years (Preferred)
• SAS: 5 years (Preferred)
• Data visualization: 5 years (Preferred)
• SQL: 5 years (Preferred)
• R Programming: 5 years (Preferred)
• Oncology: 5 years (Preferred)
• health insurance claims and electronic health records data: 5 years (Preferred)

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