Statistical Programmer – L2 Job Summary: Statistical Programmer reports to Principal Statistical programmer 3/ Lead, Statistical Programming (L4 (3) or M1) , is responsible to work independently on the most of the Mapping activities (SDTM/Client specific mappings) which are simple and medium complex for assigned client in the given environment for the standard domains. Understanding clinical domain, mapping logic, data issues is a part of this role. Learning the product/system/mechanism to be used for SDTM mapping is a part of this role. Knowledge, Skills & Abilities: Clinical Domain knowledge Familiarity with CDISC Standards (SDTM Knowledge, ADaM, Submission package) SAS Programming (Experience up to 2 years) Python Programming will be an added advantage R Programming will be an added advantage Good Communication skills, learning attitude and good team player Education and Work Experience: Graduation in Pharmacy/Computer Science, or any such equivalent graduation from a reputed institute. Total experience is between 2 - 4 years Responsibilities: Ability to pick up multiple tools/technologies on the job. Import and Export raw data Contribute to Mapping specifications Utilize SAS/R programming/Python programming skills for clinical trial study submissions Develop programs identifying data issues and reporting them to the appropriate team Utilize appropriate guidelines to build CDISC/regulatory compliant datasets Understand CRF annotations and check for consistency with raw data Ability to debug custom functions/SAS Macros and fix issues Good understanding of clinical data and domain Follow Client Processes and SOPs Assist senior team members in quality control processes Assist senior team members with team metrics Communicate with an internal team to create deliverables for pharmaceutical and CRO clients Work in tandem with Biostatistics and Data Management members on clinical projects Communicate with programming and statistics leads Make sure you are compliant with company policies/SOPs. About US: Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), Generative AI and advanced-analytics, accelerating your time to market. We offer AI-backed SaaS solutions as well as product-based industry services and accelerators. Discover more at saama.com.

Statistical Programmer – L2 Job Summary: Statistical Programmer reports to Principal Statistical programmer 3/ Lead, Statistical Programming (L4 (3) or M1) , is responsible to work independently on the most of the Mapping activities (SDTM/Client specific mappings) which are simple and medium complex for assigned client in the given environment for the standard domains. Understanding clinical domain, mapping logic, data issues is a part of this role. Learning the product/system/mechanism to be used for SDTM mapping is a part of this role. Knowledge, Skills & Abilities: Clinical Domain knowledge Familiarity with CDISC Standards (SDTM Knowledge, ADaM, Submission package) SAS Programming (Experience up to 2 years) Python Programming will be an added advantage R Programming will be an added advantage Good Communication skills, learning attitude and good team player Education and Work Experience: Graduation in Pharmacy/Computer Science, or any such equivalent graduation from a reputed institute. Total experience is between 2 - 4 years Responsibilities: Ability to pick up multiple tools/technologies on the job. Import and Export raw data Contribute to Mapping specifications Utilize SAS/R programming/Python programming skills for clinical trial study submissions Develop programs identifying data issues and reporting them to the appropriate team Utilize appropriate guidelines to build CDISC/regulatory compliant datasets Understand CRF annotations and check for consistency with raw data Ability to debug custom functions/SAS Macros and fix issues Good understanding of clinical data and domain Follow Client Processes and SOPs Assist senior team members in quality control processes Assist senior team members with team metrics Communicate with an internal team to create deliverables for pharmaceutical and CRO clients Work in tandem with Biostatistics and Data Management members on clinical projects Communicate with programming and statistics leads Make sure you are compliant with company policies/SOPs. About US: Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), Generative AI and advanced-analytics, accelerating your time to market. We offer AI-backed SaaS solutions as well as product-based industry services and accelerators. Discover more at saama.com.

Statistical Programmer – L2 Job Summary: Statistical Programmer reports to Principal Statistical programmer 3/ Lead, Statistical Programming (L4 (3) or M1) , is responsible to work independently on the most of the Mapping activities (SDTM/Client specific mappings) which are simple and medium complex for assigned client in the given environment for the standard domains. Understanding clinical domain, mapping logic, data issues is a part of this role. Learning the product/system/mechanism to be used for SDTM mapping is a part of this role. Knowledge, Skills & Abilities: Clinical Domain knowledge Familiarity with CDISC Standards (SDTM Knowledge, ADaM, Submission package) SAS Programming (Experience up to 2 years) Python Programming will be an added advantage R Programming will be an added advantage Good Communication skills, learning attitude and good team player Education and Work Experience: Graduation in Pharmacy/Computer Science, or any such equivalent graduation from a reputed institute. Total experience is between 2 - 4 years Responsibilities: Ability to pick up multiple tools/technologies on the job. Import and Export raw data Contribute to Mapping specifications Utilize SAS/R programming/Python programming skills for clinical trial study submissions Develop programs identifying data issues and reporting them to the appropriate team Utilize appropriate guidelines to build CDISC/regulatory compliant datasets Understand CRF annotations and check for consistency with raw data Ability to debug custom functions/SAS Macros and fix issues Good understanding of clinical data and domain Follow Client Processes and SOPs Assist senior team members in quality control processes Assist senior team members with team metrics Communicate with an internal team to create deliverables for pharmaceutical and CRO clients Work in tandem with Biostatistics and Data Management members on clinical projects Communicate with programming and statistics leads Make sure you are compliant with company policies/SOPs. About US: Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), Generative AI and advanced-analytics, accelerating your time to market. We offer AI-backed SaaS solutions as well as product-based industry services and accelerators. Discover more at saama.com.

Saama - Technical Project Manager - JD Reports to: Program Manager Job Description ❖ Required / Must Have Skills ➢ Strong project management skills, including planning, execution, and risk management. ➢ Excellent communication and interpersonal skills, with the ability to effectively communicate with technical and non-technical audiences. ➢ Proven ability to lead and motivate cross-functional teams. ➢ Technical background or understanding of the technologies involved in the project. ➢ Minimum of 10 years of hands-on experience in Application programming. ➢ Ability to adapt to changing priorities and manage multiple projects simultaneously. ➢ Strong analytical, problem solving, troubleshooting & debugging skills. ➢ Knowledge on Python (otherwise Java or DotNet), SQL, Data Engineering, Data Analytics tools, AWS, etc. ❖ Good to have skills ➢ Good understanding of one or more of the following Clinical Systems EDC Systems such as Medidata Rave, Veeva EDC, Oracle Clinical, Medrio, InForm, etc., CTMS Systems such as Siebel CTMS, Medidata CTMS,Veeva CTMS, etc., IRT Systems such as YPRIME, Parexel Clinphone, etc., LAB Systems such as central Lab, local Labs etc., ➢ Good understanding of clinical trial domain & overall EDC study setup & reporting process.

15+ years of experience in the field of clinical domain and must have at least 5+ years of experience in the field of SAS programing in generating SDTM, ADM, TLF and complete submission package preparation. Must have a solid understanding of end to end clinical domain from Drug discovery to Regulatory approval process. Must have worked as an Business Analyst or Product Manager on Clinical Systems development. Having experience in Statistical Computing environments will be of great advantage. Proficiency in solution design within the clinical business, conduct demos to internal and external stakeholders. Very good in collaboration with Customers and internal technical stake holders. Ability to ideate and write requirement specifications and thorough hands on with the latest SDLC process and tools used in the application development. Ability to manage and guide the BAs, Testers and developers in all the functional aspects and provide Test data support. Ability to perform user acceptance testing as per the business use cases and report the issues. An excellent team player and people management skills to manage the teams as needed. Must be flexible working in the global work environments. Must be abreast of latest news and innovations in the Clinical / Life Sciences industry Understanding of application of Gen AI on clinical use cases, problem solving ability using Gen AI will be of great advantage

Analyzing and translating business needs into long-term solution data models. Evaluating existing data systems. Working with the development team to create conceptual data models and data flows. Developing best practices for data coding to ensure consistency within the system. Reviewing modifications of existing systems for cross-compatibility. Implementing data strategies and developing physical data models. Updating and optimizing local and metadata models. Evaluating implemented data systems for variances, discrepancies, and efficiency. Maintain logical and physical data models along with accurate metadata. Analyze data-related system integration challenges and propose appropriate solutions with strategic approach Should have Strong knowledge in Databases, cloud technologies, Data Valut Architecture.

Associate QA Engineer Job Summary: An Associate QA Engineer, a role focused on ensuring product quality, develops and executes test plans, identifies defects, and collaborates with development teams to improve product quality, often working under the guidance of senior engineers. Knowledge, Skills & Abilities: Knowledge of programming languages like python , Java. Knowledge of SQL, performance tuning and experience with Bigquery/Snowflake. Knowledge of Datamodels, GIT, Jenkins. Experience with Cloud platforms like GCP,ACW, Azure. Strong analytical and problem-solving skills with the ability to synthesize information, summarize issues and think creatively. Excellent communication skills and able to convey information clearly and concisely . Education and Work Experience: Graduation or any equivalent qualification from a reputed institution. 0-2 years of experience Overall aggregate of the Candidate should be above 60% with no history of Arrears. Job Description: Develop ETL Pipelines/Applications (Coding and Programming using SQL, Python, AWS, Snowflake, GCP, Azure) Testing and Debugging ETL code Documenting and Testing new Software Applications Researching, Investigating and fixing wide range of technical issues Collaborating with Senior leaders Proactively learning about new Technologies Problem solving in different data domain and creating solutions About US: Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), Generative AI and advanced-analytics, accelerating your time to market. We offer AI-backed SaaS solutions as well as product based industry services and accelerators. Discover more at saama.com. Benefits: Relocation Support: Assistance provided to employees who need to relocate for work. Learning & Certifications: A dedicated budget to support continuous learning and professional growth for all full-time employees. Self-Learning: Employees can avail ₹5,000 per quarter for self-learning courses, with a maximum of 3 sessions per quarter. Professional Certifications: A reimbursement of up to $700 per year for professional certifications, with a limit of 2 certifications annually. Leave Policy: Employees are entitled to 15 earned leaves per year, along with an additional 12 leaves (sick leave or casual leave) for better work-life balance. Tax-Saving Options: Various benefits are available to help employees optimize tax savings, including: Meal vouchers for daily expenses. Contribution to the National Pension Scheme (NPS) for retirement savings. Voluntary Provident Fund (VPF) to enhance long-term financial security. Group Mediclaim Policy: Comprehensive health coverage for employees and their families. Employee, Spouse, and Children: Covered up to ₹5 lakhs. Parents & In-Laws: Covered up to ₹3 lakhs. Lean IN Initiative: A women-centric program designed to empower and support female employees in their leadership and professional development journey.