Senior Analyst (Biostatistician) Bean Hr Consulting

5.0 - 10.0 years

15 - 20 Lacs

bengaluru

Hybrid

Job Details Position Title : Senior Analyst (Biostatistician) Experience : 5-10 Years Role : Fulltime / Permanent Location : Bangalore Work Mode: Hybrid Roles & Responsibilities : Generate statistical summary tables, patient data listings, and reports using SAS. Handle complex SAS programming issues , perform database and CRF review to ensure programming consistency, and be familiar with all study programming issues. Contribute to statistical analysis plans. Prepare template and programming for periodic progress reports for assigned clinical programs. Compile clinical data and relevant back-up material and present these results to the Biostatistics Manager for review. Work on SAS programs to generate data sets, tables, listings, and graphs. Work on SAS programs to complete quality control and validation work on SAS programs, data sets, and TLGs generated by others. Work on SAS programs to process and/or import external data into analysis data sets or export SAS output to other computer files for delivery. Work on SAS programs to create derived variables and data sets (e.g., LOCF (Last Observation Carry Forward), adverse events with multiple merging and cleaning procedures), or perform other required advanced data manipulation to support completion of biostatistics projects; SAS, SQL & Macro skills required. May be required to assist in other programming tasks using software other than SAS to support biostatistics or specialized data analysis requirements. Assist with documents to describe SAS programs as assigned, such as specifications for protocol analysis data sets. Perform group and departmental Quality Control (QC) procedures. Work on listings to support data cleaning and monitoring. Required Qualifications: Bachelor's Degree or equivalent in biostatistics, statistics, or related field The ideal candidate will have at least 5-8 years of experience in SAS programming and analysis of clinical trial data. Familiarity with clinical trial design and analysis issues. Experienced with electronic data capture (EDC) system(s). Preferred Qualifications: Medical device experience

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Bio Statistician - SAS Programming Bean Hr Consulting

5.0 - 10.0 years

15 - 25 Lacs

Bengaluru

Work from Office

Job Title: Senior SAS Programmer Experience: 510 Years Location: Bangalore (BLR) Notice Period: 0–30 Days Employment Type: Full-time Job Summary: We are looking for a Senior SAS Programmer with strong experience in clinical trial data programming. The ideal candidate will have expertise in SAS, SQL, and statistical reporting to support data analysis for clinical research studies. You will work closely with biostatisticians, data managers, and clinical teams to ensure the accuracy and quality of clinical trial outputs. Key Responsibilities: Develop and validate SAS programs to generate statistical summary tables, listings, and graphs (TLGs) . Create derived datasets for analysis using complex data manipulation techniques (e.g., LOCF, adverse events merging). Perform quality control (QC) on programs, datasets, and outputs. Support the development of Statistical Analysis Plans (SAPs) . Review CRFs and clinical databases for programming consistency. Compile and present clinical data reports and progress updates to the Biostatistics team. Import and process external data into analysis-ready formats. Participate in cross-functional team discussions to support clinical trial programming needs. Maintain detailed program documentation and contribute to internal QC and compliance processes. Required Skills: SAS (Base, Macros) SQL TLG generation Data derivation & transformation Clinical data standards LOCF, adverse event processing Experience with EDC systems Strong understanding of clinical trial design & data analysis Preferred: Experience in medical device clinical trials Familiarity with regulatory submission standards (e.g., CDISC, ADaM, SDTM) Soft Skills: Strong analytical and problem-solving skills Excellent communication and documentation abilities Attention to detail and quality focus Ability to manage timelines across multiple studies

Posted 2 months ago

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