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

This role will be 100 % remoteWe’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 YearsCandidate can be any where with in USShift: 9:00 AM -4:00 PM CST (Should be available for meetings and discussion)Part of epidemiology data analysis teamManager'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 consideredTop 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. • SASAdvanced 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 YearsJob Type: ContractPay: $56.00 - $58.00 per hourBenefits:• Flexible schedule• Health insurance• Life insurance• Paid sick time• Paid time offEducation:• 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)Work Location:Remote Apply tot his job