What Jobs are available for Statistician in India?

Lead the development and testing of our innovative and market-leading statistical software. Assist team members on the implementation of complex and innovative statistical algorithms in software products.
This is a technical leadership role that involves solving complex statistical problems and working independently, while collaborating with other leaders to meet your project's objectives. Depending upon the project need, may lead less experienced statisticians in the team and oversee their work.
+ As a Subject Matter Expert (SME) in your project team, study business requirements carefully, extract statistical requirements from them, and guide team members on the development and testing of these statistical requirements.
+ Write detailed technical documents and validation strategies for the statistical algorithms to be developed and tested.
+ Guide statistician testers on developing validators and test cases for statistical algorithms and review work done by them ensuring its quality, completeness, and timeliness.
+ Follow applicable processes and guide team members on the same.
+ Work with other leads to plan and lead sprint planning, daily stand-ups, sprint demos, and retrospectives.
+ Provide technical coaching to less experienced statisticians and share relevant feedback with their managers.
+ Present own work and learnings at internal forums.
+ Develop a strong T-shaped technical skillset by undergoing appropriate trainings and courses and attending relevant industry events.
+ Participate in hiring less experienced statisticians by conducting technical interviews.
+ Participate in activities like vendor risk assessment and tool qualification for vendors and tools relevant to statisticians' work.
+ Work closely with your manager to meet your own goals.
**Education:**
+ Master's or Ph.D. in Statistics, Applied Statistics, or Mathematics
**Experience:**
+ At least 5 years' experience working as a Statistician in a software development team testing or programming complex statistical algorithms
+ Experienced Biostatisticians/Analysts/Data Scientists from Life Sciences industry with strong knowledge of areas like clinical trial designing or complex data analysis may be considered as well.
+ Experience working in Agile Scrum teams and knowledge of frameworks like Scrum
+ At least 3 years of scientific programming experience using a language like R, Python, or Julia
**Skills:**
+ Strong knowledge of specific statistical and mathematical methods relevant to Cytel's products (e.g., Bayesian methods applied to clinical trials, multiplicity adjustment methods, adaptive designs, etc.)
+ Strong knowledge of clinical trial domain
+ Advanced knowledge of programming languages like R, Python, or Julia
+ Knowledge of some project management, documentation, and code repository tools (Jira, Confluence, BitBucket, TestRail preferred)
+ Knowledge of SDLC processes and regulatory compliance requirements applicable to software development
+ Excellent communication and interpersonal skills, and collaborative mindset with the ability to network with senior professionals in own area of expertise
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

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.
**Principal 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 Principal CMC Statistician will use their expertise to implement statistical tools and techniques with science-based practices used throughout the product life cycle. The statistician will provide multi-functional support to clinical and commercial manufacturing sites in the network including statistical support for activities such as process characterization and monitoring programs, analytical methods, specifications, and investigations.
The statistician may also support the development of delivery devices, where they will 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 support 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.
+ Acts as a technical lead in the development, implementation and maintenance of statistical tools used to support product life cycle activities. This may include, drafting/updating white papers, writing standardized SAS and/or R code, outlining report templates, and aligning relevant SOPs.
+ 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.
+ Supports regulatory audits by interacting with technical staff to answer questions during on- site inspections; and provides written responses to clarify a statistical approach or perform additional analysis to support a Request for Information, as required.
+ 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, standard processes, 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 passionate individual with these qualifications.
**Basic Qualifications:**
+ Doctorate Degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 2 years of applied statistics experience **OR** ,
+ Master's Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 8 to 10 years of applied statistics experience **OR** ,
+ Bachelor's Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 10 to 14 years of applied statistics experience **OR** ,
+ Diploma in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 14 to 18 years of applied statistics experience
**Preferred Qualifications:**
+ Post-graduate degree with 6+ years' experience in Biopharma manufacturing and control
+ Proficient in statistical tools and techniques commonly used in biopharma manufacturing 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
**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.
+ Vast opportunities to learn and move up and across our global organization
+ Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
+ Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits
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.

Lead the development and testing of our innovative and market-leading statistical software. Assist team members on the implementation of complex and innovative statistical algorithms in software products.
This is a technical leadership role that involves solving complex statistical problems and working independently, while collaborating with other leaders to meet your project's objectives. Depending upon the project need, may lead less experienced statisticians in the team and oversee their work.
+ As a Subject Matter Expert (SME) in your project team, study business requirements carefully, extract statistical requirements from them, and guide team members on the development and testing of these statistical requirements.
+ Write detailed technical documents and validation strategies for the statistical algorithms to be developed and tested.
+ Guide statistician testers on developing validators and test cases for statistical algorithms and review work done by them ensuring its quality, completeness, and timeliness.
+ Follow applicable processes and guide team members on the same.
+ Work with other leads to plan and lead sprint planning, daily stand-ups, sprint demos, and retrospectives.
+ Provide technical coaching to less experienced statisticians and share relevant feedback with their managers.
+ Present own work and learnings at internal forums.
+ Develop a strong T-shaped technical skillset by undergoing appropriate trainings and courses and attending relevant industry events.
+ Participate in hiring less experienced statisticians by conducting technical interviews.
+ Participate in activities like vendor risk assessment and tool qualification for vendors and tools relevant to statisticians' work.
+ Work closely with your manager to meet your own goals.
**Education:**
+ Master's or Ph.D. in Statistics, Applied Statistics, or Mathematics
**Experience:**
+ At least 5 years' experience working as a Statistician in a software development team testing or programming complex statistical algorithms
+ Experienced Biostatisticians/Analysts/Data Scientists from Life Sciences industry with strong knowledge of areas like clinical trial designing or complex data analysis may be considered as well.
+ Experience working in Agile Scrum teams and knowledge of frameworks like Scrum
+ At least 3 years of scientific programming experience using a language like R, Python, or Julia
**Skills:**
+ Strong knowledge of specific statistical and mathematical methods relevant to Cytel's products (e.g., Bayesian methods applied to clinical trials, multiplicity adjustment methods, adaptive designs, etc.)
+ Strong knowledge of clinical trial domain
+ Advanced knowledge of programming languages like R, Python, or Julia
+ Knowledge of some project management, documentation, and code repository tools (Jira, Confluence, BitBucket, TestRail preferred)
+ Knowledge of SDLC processes and regulatory compliance requirements applicable to software development
+ Excellent communication and interpersonal skills, and collaborative mindset with the ability to network with senior professionals in own area of expertise
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

Lead the development and testing of our innovative and market-leading statistical software. Assist team members on the implementation of complex and innovative statistical algorithms in software products.
This is a technical leadership role that involves solving complex statistical problems and working independently, while collaborating with other leaders to meet your project's objectives. Depending upon the project need, may lead less experienced statisticians in the team and oversee their work.
+ As a Subject Matter Expert (SME) in your project team, study business requirements carefully, extract statistical requirements from them, and guide team members on the development and testing of these statistical requirements.
+ Write detailed technical documents and validation strategies for the statistical algorithms to be developed and tested.
+ Guide statistician testers on developing validators and test cases for statistical algorithms and review work done by them ensuring its quality, completeness, and timeliness.
+ Follow applicable processes and guide team members on the same.
+ Work with other leads to plan and lead sprint planning, daily stand-ups, sprint demos, and retrospectives.
+ Provide technical coaching to less experienced statisticians and share relevant feedback with their managers.
+ Present own work and learnings at internal forums.
+ Develop a strong T-shaped technical skillset by undergoing appropriate trainings and courses and attending relevant industry events.
+ Participate in hiring less experienced statisticians by conducting technical interviews.
+ Participate in activities like vendor risk assessment and tool qualification for vendors and tools relevant to statisticians' work.
+ Work closely with your manager to meet your own goals.
**Education:**
+ Master's or Ph.D. in Statistics, Applied Statistics, or Mathematics
**Experience:**
+ At least 5 years' experience working as a Statistician in a software development team testing or programming complex statistical algorithms
+ Experienced Biostatisticians/Analysts/Data Scientists from Life Sciences industry with strong knowledge of areas like clinical trial designing or complex data analysis may be considered as well.
+ Experience working in Agile Scrum teams and knowledge of frameworks like Scrum
+ At least 3 years of scientific programming experience using a language like R, Python, or Julia
**Skills:**
+ Strong knowledge of specific statistical and mathematical methods relevant to Cytel's products (e.g., Bayesian methods applied to clinical trials, multiplicity adjustment methods, adaptive designs, etc.)
+ Strong knowledge of clinical trial domain
+ Advanced knowledge of programming languages like R, Python, or Julia
+ Knowledge of some project management, documentation, and code repository tools (Jira, Confluence, BitBucket, TestRail preferred)
+ Knowledge of SDLC processes and regulatory compliance requirements applicable to software development
+ Excellent communication and interpersonal skills, and collaborative mindset with the ability to network with senior professionals in own area of expertise
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

Lead the development and testing of our innovative and market-leading statistical software. Assist team members on the implementation of complex and innovative statistical algorithms in software products.
This is a technical leadership role that involves solving complex statistical problems and working independently, while collaborating with other leaders to meet your project's objectives. Depending upon the project need, may lead less experienced statisticians in the team and oversee their work.
+ As a Subject Matter Expert (SME) in your project team, study business requirements carefully, extract statistical requirements from them, and guide team members on the development and testing of these statistical requirements.
+ Write detailed technical documents and validation strategies for the statistical algorithms to be developed and tested.
+ Guide statistician testers on developing validators and test cases for statistical algorithms and review work done by them ensuring its quality, completeness, and timeliness.
+ Follow applicable processes and guide team members on the same.
+ Work with other leads to plan and lead sprint planning, daily stand-ups, sprint demos, and retrospectives.
+ Provide technical coaching to less experienced statisticians and share relevant feedback with their managers.
+ Present own work and learnings at internal forums.
+ Develop a strong T-shaped technical skillset by undergoing appropriate trainings and courses and attending relevant industry events.
+ Participate in hiring less experienced statisticians by conducting technical interviews.
+ Participate in activities like vendor risk assessment and tool qualification for vendors and tools relevant to statisticians' work.
+ Work closely with your manager to meet your own goals.
**Education:**
+ Master's or Ph.D. in Statistics, Applied Statistics, or Mathematics
**Experience:**
+ At least 5 years' experience working as a Statistician in a software development team testing or programming complex statistical algorithms
+ Experienced Biostatisticians/Analysts/Data Scientists from Life Sciences industry with strong knowledge of areas like clinical trial designing or complex data analysis may be considered as well.
+ Experience working in Agile Scrum teams and knowledge of frameworks like Scrum
+ At least 3 years of scientific programming experience using a language like R, Python, or Julia
**Skills:**
+ Strong knowledge of specific statistical and mathematical methods relevant to Cytel's products (e.g., Bayesian methods applied to clinical trials, multiplicity adjustment methods, adaptive designs, etc.)
+ Strong knowledge of clinical trial domain
+ Advanced knowledge of programming languages like R, Python, or Julia
+ Knowledge of some project management, documentation, and code repository tools (Jira, Confluence, BitBucket, TestRail preferred)
+ Knowledge of SDLC processes and regulatory compliance requirements applicable to software development
+ Excellent communication and interpersonal skills, and collaborative mindset with the ability to network with senior professionals in own area of expertise
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

Analyst - SAS Programmer Typical Minimum Requirements  ∙Requires 5+ years of relevant research/clinical/healthcare experience (2 less years required with PhD) ∙Master’s degree in Statistics / Biostatistics or Applied Statistics  ∙Ph.D. preferred Key Responsibilities ∙Evaluates research concepts to develop appropriate statistical methods of analysis  ∙Reviews protocols, writes statistical sections and Statistical Analysis Plans (SAPs) for assigned studies  ∙Determines methods of statistical analysis and applies statistical techniques to determine measures of central tendency, correlation, sample size, significance of difference, etc.  ∙Reviews CRFs and ensures complete data collection for analysis  ∙Runs randomization lists  ∙Prepares tables, charts, and graphs showing the results of statistical analysis  ∙Performs specialized statistical analysis involving correlation equations for multi-factorial variances and regression equations.  ∙Discusses study conduct and results with physicians and sponsors  ∙Detailed knowledge of SAS programming and procedures and other statistical software; writes edit checks in SAS; validates SAS programs  ∙Responsible for data transfer ∙Ability to provide technical solutions to a wide range of difficult problems  ∙Works with research staff to resolve issues regarding data capture, accuracy, and completeness  ∙Assists in the development of new statistical tools and modeling protocols ∙Documents methods, instructions and rules for implementing new techniques and research tools ∙Develops standard data quality review checks and validation procedures  ∙Designs predictive modeling programming for evaluating health outcomes, utilization, and costs  ∙Produces standard error analysis routines and protocols (missing data & data errors checks)  ∙Diversifies research techniques, by producing mixed qualitative-quantitative approaches to evaluating EHRs.  ∙Reviews and contributes towards completion of abstracts, posters, presentations, and manuscripts by writing the statistical sections, checking results and reviewing content  ∙Previous interaction with FDA submission is desired; experience in design and/or analysis of surveys a plus Critical Skills  ∙Advanced SAS programming skills for data manipulation (macros, proc SQL, data and proc steps, merging, use of first & last from proc sort, removal of duplicates, running totals, merging, use of arrays, proc template, knowledge of the output delivery system (ODS), etc.).  ∙Ability to create and work with multiple data sources and large datasets (millions of records).  ∙Basic applied statistical skills (Chi-square tests, Fisher’s exact test, t-tests, Wilcoxon rank sum tests, paired tests, linear & logistic regression, Cox proportional hazards regression, Kaplan Meier survival plots)   ∙Performs survival analysis, mixed model and/or combined qualitative-quantitative analytic techniques and related research tools. ∙Modeling with count data (Poisson and negative binomial regression)  ∙Modeling with skewed data (survival and cost data) ∙Excellent written and oral communication skills. Ability to clearly explain and define algorithm rules.  ∙Ability to clearly explain and write statistical results in easy to understand terms.  ∙Excellent time management skills and ability to prioritize. Must be able to make necessary decisions to meet deadlines.  ∙Ability to work in a fast-paced team environment. Positive attitude in an ever-changing environment is a must  

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Greetings From 2COMS Group!

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

Job Description

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Research complex functional data/analytical issues, good troubleshooting skill • Gather business requirements for analytical applications in iterative/agile development model.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

BenefitsAs per Co norms

**Job Purpose**
+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.

Our client is offering an exciting opportunity for motivated Graduate Trainees to join their data analysis team. This is a fully remote internship program designed to provide hands-on experience in the field of data science and analytics. As a Graduate Trainee, you will work closely with experienced data analysts and scientists, contributing to real-world projects. You will gain exposure to data cleaning, data preprocessing, exploratory data analysis, and data visualization. This role demands strong analytical and problem-solving skills, along with a keen interest in deriving insights from data. You will be responsible for assisting in the collection, organization, and interpretation of data sets, using various analytical tools and techniques. The ideal candidate will have a foundational understanding of statistical concepts and be proficient in using spreadsheet software like Microsoft Excel. Familiarity with programming languages such as Python or R, and data visualization tools, is a significant plus. You will have the opportunity to learn and apply techniques for identifying trends, patterns, and correlations within data. Collaboration with team members and clear communication of findings will be essential. Our client is committed to fostering talent and providing a supportive learning environment. This internship is an excellent stepping stone for individuals aspiring to build a career in data analysis or data science. You will receive mentorship and training to develop your skills in handling large datasets and generating actionable insights. The ability to work independently, manage tasks effectively, and demonstrate a proactive learning attitude are key requirements. This remote position allows trainees to develop their professional skills from any location.

Responsibilities:

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Create data visualizations to present findings effectively.
• Support senior analysts in developing and executing data analysis projects.
• Learn and apply statistical methods to interpret data.
• Assist in generating reports and dashboards summarizing key insights.
• Collaborate with team members on data-related tasks and projects.
• Contribute to the documentation of data processes and methodologies.
• Learn and utilize data analysis tools and software.
• Participate in team meetings and contribute to discussions.
• Develop foundational skills in data manipulation and analysis.
• Research and stay updated on emerging data analysis techniques.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving abilities.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Basic understanding of statistical concepts.
• Interest in data analysis, data science, and machine learning.
• Excellent communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and develop new skills.
• Familiarity with Python or R for data analysis is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.