22 Statistical Software Jobs

Jubilant Biosys is looking for Trainee Research Associate to join our dynamic team and embark on a rewarding career journey. As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects. Conduct research studies and analyze data using a variety of research methods and tools. Analyze and interpret data using statistical software and other analytical tools. Prepare reports and presentations summarizing research findings and conclusions.

Job Area: Engineering Group, Engineering Group > Quality Assurance Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Quality Engineer, you will plan, implement, and manage compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, quality, and regulatory standards for worldwide distribution. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer expectations. Minimum Qualifications: Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 4+ years of Quality Engineering or related work experience. OR Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 3+ years of Quality Engineering or related work experience. OR PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience. Preferred Qualifications: Master's degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field. 8+ years of Quality Engineering or related work experience. 3+ years of experience working in a large matrixed organization. 2+ years of experience with data modeling in statistical software such as MS Excel, Minitab, etc. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). ISO 90012015 Internal Auditor, ISO 26262 Functional Safety Internal Auditor, Automotive SPICE Internal Auditor. Black Belt/Six Sigma certification. ASQ (e.g., CQE or CRE) certification or equivalent. Principal Duties and Responsibilities: Leverages advanced Quality Engineering knowledge and experience to plan, implement, and manage critical compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, security, and regulatory standards. Designs, implements, and maintains advanced methods and procedures for inspecting, testing, and evaluating the precision and accuracy of critical designs, production processes, production equipment, and finished products. Performs advanced analyses of reports and data to identify critical trends and drives updates or control changes to quality standards and procedures. Ensures quality integration into the overall functions of design, development, process, and production. Identifies trends, defects, or problems in a wide range of processes, products, and customer feedback/customer returns and plays a central role in driving the effort to resolve defects or problems. Collaborates with cross functional teams to provide high quality products and timely resolution of R&D/line/market failures to meet customers quality expectations. Develops and/or delivers training material, process documents, and templates for ISO certifications and/or external certifications; delivers training for multiple products or processes. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Ripple Healthcare is looking for User Research Intern to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions Conduct in depth research to gather insights into user behavior and preferences. Analyze data to inform product development and improve user experiences.

Role requires a good understanding of actuarial pricing concepts including cashflows of life insurance products. Role requires effective management of various stakeholders requirements. Therefore, quick turn-around-time without compromising accuracy of deliverables is necessary. Building pricing model in excel/prophet/R Assist in assumptions setting for pricing Preparation of filing documents Building / Validation of excel calculators for Benefit Illustration Handling customer/IT queries related to benefit calculations Assisting IT and Modelling team in setting up the Products Meeting any pricing related regulatory requirement within specified timelines Meeting any requirements from management regarding new products within timelines Good working knowledge in MS-Excel, MS-Word and other MS-Office softwares. Knowledge of Prophet, R is preferred. Good drafting, reporting and communication skills. Able to champion the use of technology within the function to improve the business performance 6- 8 years of relevant experience in a life insurance company with at least 3 years of experience in product pricing. _

1. Performing in-depth secondary research analysis and primary research through telephonic interviews surveys, and questionnaires 2. Analyze data using statistical software and tools 3. Updating the structure and content of the report as per industry expectations/standards and feedback. 4. Should have the sound aptitude and a good logical approach. 5. Experience required from the Market Research industry only. 6. Immediate joiners are preferred for the positions. 7. Must have sound knowledge of Microsoft Excel.

We are seeking a self-motivated, highly passionate, and experienced Research Manager to lead research initiatives at the centre in the field of finance and accounting. The successful candidate will play a crucial role in managing and coordinating research projects, ensuring they align with the centre s mission to advance knowledge and influence practice. Under the overall guidance of the Centre Team, the Research Manager will be responsible for the development, execution, and dissemination of high-quality research outputs, bridging the gap between academia, industry, and regulatory bodies. Main Job Responsibilities: Work on research papers that align with the centre s goals from inception to completion while ensuring timely and high-quality delivery. Utilize advanced analytical methods to interpret data and generate insights. Prepare comprehensive reports, policy briefs, and case studies. Contribute to the Centre s annual report. Foster strong relationships with industry partners, regulatory agencies, and academic institutions. Network with research scholars and professionals within India and internationally. Organize seminars, workshops, and roundtables for research dissemination and discussions on topical issues. Essential Qualifications: A full-time postgraduate degree in finance, accounting, or economics from a well-reputed university within India or abroad. Skills: Ability to lead independent research on topical issues in the area of finance and accounting Strong command of econometric techniques and statistical software such as R / Stata / Python, along with MS Office proficiency Problem-solving skills, analytical thinking, and a process-oriented approach Ability to work both independently and as part of a team, and to manage multiple tasks Excellent communication skills, both oral and written, along with experience in report writing, creating infographics, and developing concept notes and policy briefs. Experience in organizing seminars, stakeholder workshops, or conferences

Summary The Principal Biostatistician is responsible for all statistical work, scientific and operational, for one or more assigned trials in collaboration with the clinical trial team. May support project level deliverables for a development project with supervision. Leads implementation of modern and innovative clinical trial/experimental designs, statistical models, analyses and data exploration at the study level. About the Role Major Accountabilities:- 1. Study level: a. Responsible for all statistical tasks on assigned trials, and perform these tasks independently seeking peer input/review as required. Responsible for protocol development in alignment with the development plan, developing statistical analysis plans, reporting activities. Contribute to planning and exe-cution of exploratory analyses, and/or PK, PK/PD analyses, exploratory bi-omarker and diagnostic analyses, and statistical consultation. Initiate, drive and implement novel methods and innovative trial designs in alignment with the Lead Statistician. b. Explain statistical methodology and interpret analysis results. Provide statisti-cal expertise to support submission activities and documents, meetings with and responses to Health Authorities and other drug development activities, as required. c. Contribute to interactions with external review boards/ethics committees, ex-ternal consultants and other external parties with oversight as appropriate. Represent Novartis in statistical discussions at external congresses, confer-ences, scientific meetings. d. Represent the Biostatistics & Pharmacometrics Line Function on cross-functional teams for the assigned trials. Responsible for functional alignment and ensuring line function awareness of status and issues related to the as-signed trials. e. Collaborate with other line functions. Explain statistical concepts in manner easily understood by non-statisticians and provide adequate statistical justifi-cations for actions/decisions/statements as required. f. Establish and maintain sound working relationships and effective communica-tion within the Clinical Trial Team and Biostatistics & Pharmacometrics team. g. Oversee all Biostatistics resources and deliverables for assigned trials. En-sure timeliness and adequate quality of all Biostatistics deliverables for the assigned trials and/or non-clinical related activities. 2. Project level: a. Contribute to project level activities as needed. b. Contributes to project team preparation for HA Advisory Committees and meetings. 3. Franchise or Global Line Function level: Contribute to initiatives at global line function level 4. Enterprise level: a. Participate in non-clinical project activities as needed b. Contribute to the review and implementation of health authority guidance c. Promote the use and the acceptance of innovative methods within the organization, through scientific collaborations, publications in scientific peer re-viewed journals and presentations at professional meetings 5. External level: a. Contribute to interactions with external review boards/ethics committees, ex-ternal consultants and other external parties with oversight as appropriate. b. Represent Novartis in statistical discussions at external congresses, confer-ences, scientific meetings. 6. People Management: Mentor new hires and/or junior Statisticians Minimum Requirements: 1. Influences decisions that directly impact the assigned clinical trial and team ability to deliver objectives. 2. Proven knowledge and expertise in statistics and its application to clinical trials. Depending on the assignment, may require proven expertise in pharmacokinetics, exposure-response modelling, exploratory biomarker, diagnostic analyses, applied Bayesian statistics, or data exploration skills. Proficiency in use of statistical software packages (e. g. SAS, R). Knowledge of drug development and Health Authority guidelines. Able to work on and collaborate seamlessly with a multidisciplinary team to achieve team objectives. 3. Experience in Franchise/Therapeutic Area and/or regulatory activities desirable. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork. novartis. com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

The Senior Manager - Monitoring & Evaluation (M&E) is responsible for designing, implementing, and managing a comprehensive M&E system to track the performance and impact of programs and projects. This role ensures that learning and evidence drive continuous program improvement and organizational growth. The Senior Manager will lead a team, develop frameworks, oversee data collection and analysis, and support donor reporting requirements. Key Responsibilities: Strategic Leadership: Lead the design and implementation of M&E strategies, frameworks, and systems aligned with organizational goals. Develop logical frameworks, KPIs, and theories of change for programs and projects. Integrate adaptive learning approaches and ensure utilization of M&E findings to improve program quality and impact. Monitoring & Evaluation Systems: Design and manage data collection tools and processes, including digital platforms where needed Ensure regular monitoring, analysis, and evaluation of program activities against targets Develop and oversee program dashboards, scorecards, and real-time reporting mechanisms Capacity Building: Build and strengthen M&E capacity across project teams through training, coaching, and support Create user-friendly guides, templates, and resources for program staff. Data Management and Analysis: Ensure data quality through effective verification, validation, and cleaning protocols Lead qualitative and quantitative data analysis to generate actionable insights Prepare high-quality reports, case studies, and evaluation summaries for internal and external audiences. Reporting and Compliance: Lead the preparation of M&E sections for donor proposals, reports, and evaluations. Ensure compliance with donor requirements and international M&E standards. Research and Learning: Design and manage evaluations, baseline studies, impact assessments, and special studies Foster a culture of learning and evidence-based decision-making within the organization. Required Qualifications and Experience: Masters degree in Social Sciences, Development Studies, Public Policy, Statistics, or a related field Minimum 8-10 years of relevant experience in Monitoring & Evaluation roles, preferably in the NGO, development, or social impact sector. Proven experience designing and implementing M&E systems for multi-donor, multi-sectoral projects Strong analytical skills and expertise in statistical software (e.g., SPSS, STATA, R) and data visualization tools (e.g., Power BI, Tableau). Experience with digital data collection platforms (e.g., KoboToolbox, CommCare, ODK). Excellent written and verbal communication skills. Demonstrated leadership abilities with experience managing teams and building capacity. Desired Competencies: Strategic thinking and problem-solving abilities Strong attention to detail and data-driven mindset Ability to manage multiple tasks under tight deadlines Collaborative, with excellent interpersonal and facilitation skills Familiarity with participatory M&E approaches and human-centered design is an advantage.

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Quality Engineer, you will plan, implement, and manage compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, quality, and regulatory standards for worldwide distribution. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer expectations. Minimum Qualifications: Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 4+ years of Quality Engineering or related work experience. OR Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 3+ years of Quality Engineering or related work experience. OR PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience. Preferred Qualifications: Master's degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field. 8+ years of Quality Engineering or related work experience. 3+ years of experience working in a large matrixed organization. 2+ years of experience with data modeling in statistical software such as MS Excel, Minitab, etc. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). ISO 9001:2015 Internal Auditor, ISO 26262 Functional Safety Internal Auditor, Automotive SPICE Internal Auditor. Black Belt/Six Sigma certification. ASQ (e.g., CQE or CRE) certification or equivalent. Principal Duties and Responsibilities: Leverages advanced Quality Engineering knowledge and experience to plan, implement, and manage critical compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, security, and regulatory standards. Designs, implements, and maintains advanced methods and procedures for inspecting, testing, and evaluating the precision and accuracy of critical designs, production processes, production equipment, and finished products. Performs advanced analyses of reports and data to identify critical trends and drives updates or control changes to quality standards and procedures. Ensures quality integration into the overall functions of design, development, process, and production. Identifies trends, defects, or problems in a wide range of processes, products, and customer feedback/customer returns and plays a central role in driving the effort to resolve defects or problems. Collaborates with cross functional teams to provide high quality products and timely resolution of R&D/line/market failures to meet customers quality expectations. Develops and/or delivers training material, process documents, and templates for ISO certifications and/or external certifications; delivers training for multiple products or processes. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Description Responsibilities: Gather and manage data from various sources related to inventory and supply chain. Develop and implement statistical models and techniques to solve complex problems. Apply statistical methodologies to analyze inventory data and identify trends and patterns. Develop predictive models to forecast inventory needs based on historical data and market trends. Review current safety stock models and Inventory Optimization Models and suggest other techniques that are available with use cases Utilize inventory management software and statistical tools (e.g., R, SAS, SPSS) to track and analyze data. Interpret and present data findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to provide statistical insights and recommendations. Qualifications REQUIRED Masters degree in Statistics, Mathematics, Economics, Supply Chain or a related field. Proven experience in statistical analysis and data interpretation in areas specific to Saf

Job Title: Principal Bio-Statistician-Non clinical statistic Location: Hyderabad About The Job As part of the development of Sanofis pharmaceutical products, the R&D Data Sciences department and more specifically the Statistics department for the Chemical Manufacturing Control (CMC) (CMC Statistics), is responsible for contributing to statistical support, modeling, digitalization, decision-making and filing of new product registration files, Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do Build a career and you can be part of transforming our business while helping to change millions of lives ReadyAs CMC statistician within our Data Sciences/ CMC Statistics youll be supporting the CMC activities for process, analytical methods and formulation development, for several CMC sites in the world, We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives Were also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible Ready to get started Major Responsibilities Under supervision of Statistical Project Leader and/or Group Head, contribute to the reliability, scientific quality and optimization of project support from target identification to process development, by providing appropriate Non-Clinical statistical support: Accountable for all assigned statistical deliverables related to one study or activities in the Non-Clinical development area: Perform statistical analyses of data from the laboratories using R and possibly other languages (SAS, ?) or standard statistical software used in Sanofi (JMP, SIMCA, internal tools), to deliver statistical reports/memo Contribute to the development and support of statistical end-user tools (mainly RShiny) Participate to internal working groups and contribute to develop state-of-the art methodologies and statistical approaches Respect Policies, Standards, external guidelines and processes Presentation of statistical work package results to project team members and stakeholders About You Experience: Strong expertise in the field of non-clinical statistics applied to biopharmaceutical development Basic knowledge of pharmaceutical research and development process Scientific rigor and demonstrated level of independence to run statistical work packages For positions supporting Process Development/CMC consider the following: Proven expertise of industrial statistics (descriptive & inferential statistics, statistical process control), design of experiments, multivariate data analysis (PCA, PLS and related methods), statistical modelling and simulation Knowledge of CMC regulatory guidelines (EMA, FDA, ICH Quality, Pharmacopeias), QbD principles and ability to prepare statistical analysis for regulatory dossiers, Use of standard commercial software e-g JMP, SIMCA, MODDE Able to work in departmental computing environment, do advanced statistical analyses using R and possibly other languages (SAS, ?) Soft and technical skills: Excellent interpersonal and communication skills Education: Master in statistics or related discipline Languages: Fluent in English Why choose us Bring the miracles of science to life alongside a supportive, future-focused team, Discover endless opportunities to grow your talent and drive your career, whether its through a promotion or lateral move, at home or internationally, Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact, Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeksgender-neutral parental leave, Be part of a collaborative team Work for several sites internationally Be involved in crucial statistical activities for the company like in the regulatory dossiers null

To facilitate the process of transparent and evidence informed decision making in the field of health, Government of India has created an institutional arrangement called the Health Technology Assessment in India (HTAIn) under the Department of Health Research (DHR). HTAIn is entrusted with the responsibility to collate and where needed generate evidence related to the clinical effectiveness, cost-effectiveness, and safety of medicines, devices and health programs using the Health Technology Assessment (HTA) approach. Indian Institute of Public Health, Hyderabad has been selected as a hub of HTAIn with the mandate of carrying out HTA for government and various other relevant agencies in that region. Qualification: Essential: PhD/Masters in Economics /Development Economics/Public Health with specialization in Health Economics, Health Financing and Health Policy. Desirable: Publication in reputed peer-reviewed journals will be given weightage Experience: Essential: Working post-degree in Health Economics research projects at middle to senior researcher level for 2-3 years. For PhD in Economics the post-PhD experience can be relaxed to 1 years provided the thesis was aligned to any public health project or programme and there are publication(s) from it Academic review (scoping and systematic) Competence at biostatistics/econometrics with fluent use of statistical software (preferably R and STATA) with working knowledge of large datasets.:

DESCRIPTION The Current Product Reliability Engineer plays a vital role in ensuring the reliability and durability of Cummins' products by applying sound statistical tools, warranty data analysis, and technical insights. This role focuses on reliability data analytics for various products, identifying failure trends, reporting to leadership, and supporting improvement initiatives. Working under the guidance of experienced team members, the engineer will contribute to customer satisfaction and product excellence by driving fact-based decisions and proactive problem-solving. Key Responsibilities Apply engineering and scientific methods to analyze reliability data and ensure component and system reliability meets defined targets. Perform warranty data analysis, life data analysis, and reliability analytics using statistical methods and tools. Present analysis reports to leadership teams, explain problems identified, and recommend corrective actions. Support the development of methods, processes, and tools that quantify and enhance product reliability. Work collaboratively with cross-functional teams including Service, Quality, Finance, Marketing, and Design Engineering. Apply statistical and reliability analysis techniques to evaluate the impact of design changes on reliability. Support root cause analysis and corrective/preventive actions for reported product failures. Assist problem-solving teams in assessing reliability risks and defining mitigation strategies. Support the development and execution of reliability test plans, including accelerated testing and field data validation. RESPONSIBILITIES Competencies Applies Principles of Statistical Methods: Uses descriptive statistics, probability distributions, inference, and regression analysis for data-driven decisions. Product Failure Mode Avoidance: Identifies and mitigates potential failure modes and causes to improve reliability. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and supports rigorous failure analysis and problem resolution processes. Product Problem Solving: Applies systematic approaches to protect customers, resolve issues, and prevent recurrence. Product Reliability and Reliability Risk Management: Contributes to reliability planning and validation for new and current products. Quantitative Reliability Analysis: Applies statistical models to assess failure rates, compare alternatives, and validate improvements. Reliability Test Planning: Designs reliability test plans, including accelerated and field testing, to uncover and address unknown failure modes. Customer Focus: Builds strong relationships and delivers customer-centric solutions. Global Perspective: Approaches challenges with a broad, global view. Values Differences: Recognizes and appreciates diverse perspectives and cultures in problem-solving. Skills and Experience Basic relevant work experience through internships, co-ops, or professional roles. Knowledge of engine and Genset components, functions, and failure modes. Experience in Service and Quality functions is desirable. Proficiency in MS Office (Word, PowerPoint, Excel). Advanced Excel skills including VBA programming and Power Pivot are highly desirable. Exposure to statistical software packages such as Minitab, Weibull++, Winsmith, JMP, and R is preferable. Knowledge of engine performance measurement techniques is an advantage. Awareness of warranty data analysis and life data analysis methods is preferable. Proven ability to handle large datasets and extract meaningful insights. QUALIFICATIONS Qualifications Bachelors or masters degree in engineering (Mechanical, Electrical, Industrial, or a related field) or equivalent technical discipline. Six Sigma Yellow Belt certification is required; Green Belt certification is preferred. This position may require licensing for compliance with applicable export controls or sanctions regulations. Desired Candidate Profile Knowledge of engine and Genset components, functions, and failure modes. Experience with MS Office tools (Word, PowerPoint, Excel) is preferred. Proficiency in Excel programming (VBA) and Power Pivot is desirable. Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred. Knowledge of engine performance measurement is advantageous. Awareness of warranty data analysis and life data analysis is preferable. Monitor field performance, warranty, and return data to identify emerging reliability issues. Understanding of 7QC tools, 8D/7Step problem solving techniques, RCA, FTA, IDFEMA etc. Experience in service and quality functions is desirable. Strong analytical skills for handling large datasets and deriving meaningful conclusions. Six Sigma Yellow Belt certification required; Green Belt certification preferred..

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist CMC Statistician What you will do Let’s do this. Let’s change the world. In this vital role you will contribute to Amgen’s pipeline of new molecules and commercial products, that are treating serious illnesses and transforming lives. The Specialist CMC Statistician will be a member of our Global CMC Statistics (GCS) team. The mission of the team is to design, develop, and promote best practices, processes and tools across Operations that drive consistency and improve compliance. As part of the GCS team, the Specialist CMC Statistician will work with members of the team to implement statistical tools and techniques to support product manufacturing and testing throughout the product life cycle. The statistician will provide support to clinical and commercial manufacturing sites in the network. This involves statistical support for analyzing Operations generated data including monitoring programs, analytical methods, investigations, and other ad-hoc analyses as required. The Specialist CMC statistician will also support development of delivery devices and systems, and provide statistical analysis, study designs, acceptance sampling plans and acceptance criteria for the development, qualification, and transfer of physical test methods. They will also establish appropriate study designs and carry out evaluation of acceptance criteria for Design Verification testing ensuring that the overall program is aligned with Amgen and Regulatory/ISO requirements. Finally, the candidate will contribute to continuous improvement efforts across Amgen’s networks, leading to harmonization, efficiency gains and scientific innovation and, administration of statistical training for Amgen’s engineers and scientists. Primary Responsibilities for the Specialist CMC Statistician include: Provides continuous statistical support to a site or functional group by collaborating with technical associates to develop an experimental study, perform statistical analysis, and document results in a technical report that aligns with Amgen’s document control system and has statistical integrity. Provides written responses to clarify and/or explain a statistical approach and performs additional analysis to support regulatory submissions and response to questions, as required. Participates in the development, implementation and maintenance of statistical tools used to support product life cycle activities assisting with drafting/updating white papers, writing standardized R and SAS code, outlining report templates, and aligning GCS duties in relevant SOPs. Participates in improvement efforts to promote statistical techniques used in biologics and monoclonal antibodies processes; and mentors and guides statistical techniques and software tools to technical associates. Stays up to date on biotechnology industry trends, best practices, guidance documents and participates in external conferences, as appropriate What we expect of you We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a collaborate partner with these qualifications. Basic Qualifications: Doctorate degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics or Master’s degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 3 years of experience or Bachelor's degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 5 years of experience or Associate's degree and 10 years of experience Preferred Qualifications: Advanced degree in Applied or Industrial Statistics with 3 years’ experience applying statistical methodologies to support Biopharma manufacturing and control Proficient in statistical tools and techniques commonly used in biopharma manufacturing and testing operations, such as Design of Experiments, Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Acceptance Sampling Plans, Non-linear and Linear Regression, Significance Tests, and Simulation. Proficient in SAS and/or R programming (data manipulation techniques, macro, statistical and graphical PROCS, and ODS) and JMP statistical software Excellent interpersonal, oral and written communication skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

1. Process Design and Improvement 2. Data Analysis and Reporting 3. Collaboration and Communication 4. Continuous Improvement Initiatives 5. Troubleshooting and Support 6. Technical Knowledge 7. Excellent communication Skills

We seek a research professional to manage research studies to contribute to uncovering new and exciting insights into agency-based interventions in education like Peer Teaching and Learning and community-based interventions towards informing strategy and our intervention. The ideal candidate will be passionate about leveraging data and evidence to drive change in the education sector, skilled in conducting robust research, and committed to influencing policy and practice. Key Responsibilities Execution Develop and lead the organization s research agenda to address key challenges in education. Design and implement rigorous quantitative and qualitative research studies, including baseline, midline, and endline evaluations. Data Analysis and Insights Analyze large datasets to uncover trends, patterns, and program impacts. Synthesize complex research findings into clear and accessible reports, presentations, and publications. Provide evidence-based recommendations to inform decision-making and program design. Stakeholder Engagement Collaborate with program, design, monitoring & evaluation, and communications teams to align research outputs with organizational goals. Build and maintain partnerships with academic institutions, research organizations, and policymakers. Represent the organization at forums, conferences, and roundtables to share findings and advocate for change. Capacity Building Mentor and train staff on research methodologies and data interpretation. Foster a culture of learning and continuous improvement within the organization. Knowledge Dissemination Publish research findings in journals, blogs & other platforms. Develop user-friendly knowledge products such as case studies, and policy briefs, to maximize impact. Why you should join us: 1) The 15% at Involve 15% of your work time (~1 hr/day) at Involve will be allotted for collaborative learning in the initial months. This will later evolve into an opportunity, as an individual, to investigate a new idea - to innovate, to create. There are primary focus areas you could explore that can directly contribute to the project: 1- Personal Development and Entrepreneurial Thinking 2- Student leadership, agency & future-ready skills 3- Engaging Teachers to create more opportunities for student-driven learning. 4- Scaling the programs & understanding the educational system and stakeholders This will help identify your area of interest and explore learning opportunities, something that will contribute towards your self-development and career growth in the long run. 2) High Impact work; Strong ownership for your work and No hierarchy! 3) Mental Health : We offer a supportive space for our team members to prioritize mental health. Enjoy N number of sessions, and weve got it covered! Your mental well-being matters to us. 3) Young and Amazing Team (IIT, TISS, Azim Premji University, Teach for India, Gandhi Fellowship): Read here- 4) We are fun . Like crazy fun! & we love memes! Ask anyone around :) 5) We are crazy about Food , so you get brownie points for being a foodie! Qualifications and Skills Education : Master s in Education, Social Sciences, Economics, or a related field with a strong focus on research and evaluation. Experience : Must have 2+ years of experience in research, monitoring, and evaluation, preferably in the education or development sector. Demonstrated expertise in designing and implementing studies. Technical Skills : Proficiency in statistical software and qualitative analysis tools. Strong knowledge of mixed-methods research and impact evaluation methodologies. Familiarity with education policies and frameworks in the global and local contexts. Other Skills : Excellent analytical and problem-solving abilities. Strong written and verbal communication skills for technical and non-technical audiences. Ability to manage multiple projects and deadlines effectively. Ability to initiate, lead and complete a project independently.

Senior Scientific Officer - Analytical Support ICRISAT seeks applications from highly motivated and qualified professionals for the position of Senior Scientific Officer-Analytical Support to support the Program Office under Accelerated Crop Improvement. There are two vacancies for this position. The Position will be based in the headquarter, Patancheru, Telangana, India. ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi- arid or dryland tropics has over 2 billion people and 644 millions of these are the poorest of the poor. ICRISAT and its partners help empower these disadvantaged populations to overcome poverty, hunger and a degraded environment through better agricultural production systems. ICRISAT is headquartered at Patancheru near Hyderabad, India, with two regional hubs and eight country offices in sub-Saharan Africa. ICRISAT envisions prosperous, food-secure and resilient dryland tropics . Its mission is to reduce poverty, hunger, malnutrition and environmental degradation in the dryland tropics. ICRISAT conducts research on its mandated crops of chickpea, pigeonpea, groundnut, sorghum, pearl millet and finger millet in the arid and semi-arid tropics. The Institute focuses its work on drylands and on protecting the environment. Tropical dryland areas are usually seen as resource-poor and perennially beset by shocks such as drought, thereby trapping dryland communities in poverty and hunger and making them dependent on external aid. Please visit - www.icrisat.org Responsibilities: Assist ICRISAT s scientists in the planning of agricultural field trials. Generate randomizations and trial layouts for field trials. Provide support to ICRISAT s scientists for data curation, simple and complex analysis and interpretation of the results from field and field-related trials. Develop and/or refine existing SAS /R /ASReml-R codes for data curation, analysis and visualization. Actively contribute to scientific publications in peer reviewed journals. Contribute to conducting training programmes for both ICRISAT s scientists and National Agricultural Research Scientists (NARS) in experimental design, efficient data collection, and data analysis. Perform any other task assigned by the supervisor. Qualifications: Masters/Ph.D in Statistics/Agricultural Statistics. A Min 3 year s experience in agricultural research. Technical Competencies/Skills: Generating modern experimental designs in field trials. Knowledge of multi-environment trial analyses using mixed-models, spatial and stability analyses, heritability and genetic gain estimations of field trials. Use of statistical software such as SAS, GENSTAT, R and ASREML-R and Python. Fluency in spoken and written English. Good Interpersonal skills, communication, and teamwork. General: This is a contractual position for a period of 36 months. How to apply: Applicants should apply on or before 1 April 2025 with their latest Resume, and the names and contact information of three references that are knowledgeable about their professional qualifications and work experience. All applications will be acknowledged; however, only short-listed candidates will be contacted. ICRISAT is an equal opportunity employer

Job Area: Engineering Group, Engineering Group > Quality Assurance Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Quality Engineer, you will plan, implement, and manage compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, quality, and regulatory standards for worldwide distribution. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer expectations. Minimum Qualifications: Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 4+ years of Quality Engineering or related work experience. OR Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 3+ years of Quality Engineering or related work experience. OR PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience. Preferred Qualifications: Master's degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field. 8+ years of Quality Engineering or related work experience. 3+ years of experience working in a large matrixed organization. 2+ years of experience with data modeling in statistical software such as MS Excel, Minitab, etc. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). ISO 9001:2015 Internal Auditor, ISO 26262 Functional Safety Internal Auditor, Automotive SPICE Internal Auditor. Black Belt/Six Sigma certification. ASQ (e.g., CQE or CRE) certification or equivalent. Principal Duties and Responsibilities: Leverages advanced Quality Engineering knowledge and experience to plan, implement, and manage critical compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, security, and regulatory standards. Designs, implements, and maintains advanced methods and procedures for inspecting, testing, and evaluating the precision and accuracy of critical designs, production processes, production equipment, and finished products. Performs advanced analyses of reports and data to identify critical trends and drives updates or control changes to quality standards and procedures. Ensures quality integration into the overall functions of design, development, process, and production. Identifies trends, defects, or problems in a wide range of processes, products, and customer feedback/customer returns and plays a central role in driving the effort to resolve defects or problems. Collaborates with cross functional teams to provide high quality products and timely resolution of R&D/line/market failures to meet customers quality expectations. Develops and/or delivers training material, process documents, and templates for ISO certifications and/or external certifications; delivers training for multiple products or processes. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Work Schedule Standard (Mon-Fri) Environmental Conditions Cold Room/Freezers -22degreesF/-6degrees C, Laboratory Setting, Loud Noises (Equipment/Machinery), Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.), Strong Odors (chemical, lubricants, biological products etc.), Will work with hazardous/toxic materials Job Description Job Title: Scientist II, Protein Biology Job Location: India, Bangalore About Team: Antibody team The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using groundbreaking tools and technologies. The goal of the program is product development and creation of product specific information to promote research use. Role & Responsibilities To be a member in the molecular biology and sequencing core facility within an antibody development team through the advancement of innovative molecular biology techniques to enable high throughput recombinant antibody platforms. Responsibilities: Perform in a fast- paced environment towards antibody development & testing Develop next generation methodologies, vector improvements, cloning strategies to facilitate high throughput workflows in recombinant antibody development platforms Informal leadership of team of scientists in matrix style operation, provide technical and operational supervision. Mentoring and training junior scientists in research, design and experimental execution, interpreting data and data presentation to collaborators and partners. Drive conceptualization within teams to enable development of successful protocols for effective transfer to operation teams. Provide inputs and guidance towards driving innovation and cross team collaborations. Partner with supporting functions such as product management, program management, operations, and business development to meet program goals. Candidate Requirement: Education & Experience levels: PhD with up to 3 years experience, or Masters degree with up to 8 years experience Applicants should have a degree in a relevant life sciences field with a strong focus on next generation molecular biology, sequencing technologies and antibody development technologies. Nature of experience: Experience with antibody development and engineering including hybridoma, display technologies, single B cell, and other antibody platforms Broad knowledge and experience in molecular biology, vector design, next generation cloning, miniaturizing strategies for high throughput gene to protein, Sanger and next generation sequencing technologies, antibody sequencing, protein and antibody design/engineering Excellent troubleshooting and problem-solving skills to identify and troubleshoot technical challenges and provide suitable solutions Experience in establishing new protocols and workflows is desirable Experience leading core facilities for molecular biology and/or sequencing will be a plus Authorship of peer-reviewed publications with post-doctoral experience and a strong, independent understanding of standard and emerging trends in the field are preferred. Flexibility and adaptability to work in a fast-paced research environment. Proficient in MS Office applications such as Word, Powerpoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism. The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Business Development Support new client acquisition and business expansion in the NCE and UK markets. Collaborate with sales and marketing teams to identify and pursue new business opportunities. Develop and deliver compelling presentations and proposals showcasing our people analytics capabilities. Build and maintain strong relationships with key stakeholders in the NCE and UK regions. Contribute to the development of go-to-market strategies and thought leadership initiatives. People Analytics Leadership Lead and mentor a team of people analytics professionals. Develop and implement the people analytics strategy, roadmap, and vision. Provide expert guidance on advanced statistical analysis, predictive modelling, and data visualization techniques. Translate complex data insights into actionable recommendations for HR and business leaders. Champion a data-driven culture within the organization. Your Profile Master's degree or Ph.D. in a quantitative field (e.g., Statistics, Economics, Industrial/Organizational Psychology, or a related field). 6+ years of progressive experience in people analytics, with at least 3+ years in a leadership role. Proven track record of using data to drive business outcomes and influence decision-making. Strong analytical, problem-solving, and consulting skills. Excellent communication, interpersonal, and presentation skills. Proficiency in statistical software packages (e.g., R, Python) and data visualization tools (e.g., Tableau, Power BI). What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.