88 R Program Jobs

Senior level associate with 8+ yrs of experience Skills: R and R shiny programming experience is mandatory; SAS experience is optional , Python good to have, experience on at least 1 compete study is great add on. The candidate should be experienced in applying these skills in analysis and reporting of clinical trials and being able to reproduce statistical analysis using R. Data visualization, data wrangling using R will be important skills to have. Knowledge of R packages and their application, Data exploration using R Shiny apps and application of statistical methodology / concepts will be a huge plus. Strong understanding of phases of clinical trials and the drug development process. Knowledge of / experience in late phase /RWE will be a huge help. Strong communication skills with ability to collaborate with different functions such as biostats, MW is must. Understanding of statistics concepts to analyse the data and converting stats need in programming outputs. Candidate with learning capabilities and self-driven. Clinical trial data understanding, experience on TFL generation, CDISC standards understanding is must. Role & responsibilities Preferred candidate profile

Job Summary We are looking for an enthusiastic R Developer with 1-3 years of hands-on experience in developing analytical solutions, data processing, and reporting using R. The ideal candidate should be skilled in writing clean, efficient R code, building dashboards or applications, and working with large datasets to deliver actionable insights. Key Responsibilities Develop, optimize, and maintain R scripts, functions, and packages for data manipulation, analysis, and visualization. Build interactive dashboards and applications using R Shiny (or similar frameworks). Perform data cleaning, transformation, and exploratory data analysis (EDA). Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable R-based solutions. Integrate R solutions with databases, APIs, and external tools. Automate reporting workflows and create reproducible research/analysis pipelines. Debug, test, and document R code to ensure reliability and maintainability. Required Skills & Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 13 years of professional experience working with R in a data-driven environment. Strong knowledge of R programming , including data wrangling (dplyr, tidyr), visualization (ggplot2, plotly), and statistical modeling. Experience with R Shiny for developing interactive dashboards (preferred). Familiarity with SQL and database integration. Understanding of version control systems (e.g., Git). Good problem-solving skills and ability to work with cross-functional teams. Good to Have (Optional Skills) Exposure to Python or other programming languages. Experience with machine learning libraries (caret, mlr, tidymodels). Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker). Familiarity with reporting tools (Tableau, Power BI). Perks & Benefits Competitive salary and performance-based incentives. Learning and development opportunities. Exposure to real-world business problems in [industry/domain]. Flexible working environment.

Experience Range- 3 to 12 years Location- Gurgaon / Hyderabad/Bangalore Role- Data Scientist / Lead Data Scientist / Associate Director, Data Science Key Responsibilities: Define the AI roadmap, choose tooling, and establish best practices for model building, prompt engineering, and fine-tuning. Architect, develop, and deploy large-scale ML and GenAI-powered pipelines from ideation to production. Own the full data science project lifecycle, from opportunity identification and stakeholder partnership to model evaluation and communication of results. Mentor and guide junior data scientists while fostering a culture of continuous learning and innovation. Essential Qualifications: 3-12 years of relevant experience in Data Science or AI, with lead roles requiring at least 2 years in a technical leadership position. Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval systems. Expert proficiency in Python and its core libraries, including NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, and Hugging Face Transformers. Proven experience delivering at least one end-to-end GenAI or advanced NLP project (e.g., custom NER, Q&A systems, summarization) into production. Familiarity with deployment and orchestration tools such as Docker, Kubernetes, Airflow, and API frameworks (e.g., Flask, FastAPI). A Masters or Ph.D. in a relevant field like Computer Science or Statistics is preferred; a Bachelor's degree is the minimum requirement.

Job description Job Summary We are seeking a skilled In Vitro Statistician with 5 - 10 years of experience to support our research and development teams in statistical analysis of in vitro studies. The ideal candidate will be responsible for designing experiments, analyzing data, and providing statistical insights to support decision-making in pharmaceutical, biotechnology, or life sciences research. Key Responsibilities: Design, develop, and analyze in vitro study experiments, ensuring statistical rigor and accuracy. Apply appropriate statistical models and methodologies for data interpretation. Work closely with scientists, biologists, and researchers to provide statistical guidance in study design and result evaluation. Utilize statistical software (e.g., SAS, R, JMP, or Python) to conduct data analysis, visualization, and reporting. Validate and verify data integrity, ensuring compliance with regulatory guidelines (FDA, ICH, GLP). Develop and review statistical analysis plans (SAPs), study protocols, and technical reports. Support regulatory submissions by preparing statistical documentation and reports. Stay updated with the latest statistical methods and best practices in in vitro research. Required Qualifications & Skills: Masters or Ph.D. in Statistics, Biostatistics, Bioinformatics, or a related field. 5 - 10 years of experience in statistical analysis of in vitro studies, preferably in the pharmaceutical, biotechnology, or life sciences sector. Strong knowledge of experimental design, regression models, ANOVA, DOE, and multivariate analysis. Proficiency in statistical software (SAS, R, JMP, Python, or equivalent). Experience with data visualization, trend analysis, and predictive modeling. Understanding of regulatory requirements and compliance standards (FDA, ICH, GLP). Excellent communication skills to present findings to cross-functional teams. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience in bioassays, pharmacokinetics, biomarker analysis, or toxicology studies. Familiarity with machine learning and AI-based statistical modeling. Knowledge of clinical and preclinical statistical applications.

Job Title: GenAI/ML Platform Engineer Years of exp : 6+ yrs. Location: Hybrid (Bellandur, Bangalore) Notice Period : - Immediate joiner (7-12 days) Required Skills: Minimum total experience of 6+ years Bachelor's degree in computer science / information technology/computer information systems or relevant working experience in IT field Experience with Python, R , React , NodeJS , Jupyter notebooks Experience working with various Rest APIs Experience with Docker and Kubernetes Experience in AWS and/or GC Understanding of GenAI, Agentic AI and Machine Learning technologies Hands on with infrastructure automation Familiar with observability tools as; Prometheus, Grafana, Alert Manager, Splunk (or ELK stack), PagerDuty Strong troubleshooting skills with an appetite to learn new things is a must Good understanding of Unix/Linux Operating system internals Experience working on GenAI/ML Platforms ( Dataiku, Bedrock, Etc ) Basic knowledge of writing SQL queries Familiar with TCP/IP Fluency in English Preferred Skills: Certification in Dataiku Platform & Kubernetes (CKA, CKS) Certification in one of the following Cloud Providers; AWS, GCP, Azure Experience with CI/CD tooling such as Jenkins, GIT, Artifactory, Spinnaker Software development skills; Python, Java, Go, Node.js, React Familiar with data service solutions such as Elastic, Kafka, Redis, Nifi etc Familiar with Dataiku and ML-Ops Soft Skills: Excellent written and oral communication skills on both technical and non-technical topics. Ability to document requirements and specifications Self-starter able to work in a team or individually to complete complex technical tasks Able to explore new concepts, ideas and technologies and formulate understanding and apply to work tasks (e.g., read software product documentation and figure out how to use it with little or no guidance) NOTE: Please attach your resume @Katha.Mahajan@igtsolutions.com and add your expected CTC details It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

Hiring for Statistical Programmers with strong experience in end-to-end programming ( SDTM, ADaM, TLF ) for a leading Clinical Research organistaion. Location: Remote Role & responsibilities Title: Senior Statistical Programmer Experience: 6+ years Skills Required: Technical: R (expert), Python (proficient), SQL (proficient), experience in IHD software Experience in RWD , mainly in Pharmacology and Epidemiology (post-marketing) Hands-on experience with Real World Databases Optum, Marketscan, Flatiron, JMDC Familiarity with AI/ML, Data Visualization, and reporting tools to apply share Resumes with Puja.k@maxisclinical.com Regards Puja Khemchandani

We’re hiring Statistical Programmers for Mumbai, Pune & Bangalore | Salary: 11–20 LPA | General Shift | Min. 2+ yrs SAS programming + International BPO exp. required Graduation is mandatory Required Candidate profile | Lead global clinical programming & regulatory projects

Role & responsibilities Create and Validate Safety and Efficacy Analysis Datasets in adherence with CDISC and client specific standards and maintain quality and accuracy. Create and Validate Safety and Efficacy Tables, Listings and Figures with high quality and accuracy. Create Study specific or general macros and finalize programming specifications/mock-ups. Adhere to programming specifications and study specific requirements, including completion and filing of required documentation. Plan and organize workload to ensure effective time management and adherence to project specific timelines. Preferred candidate profile 5+ years work experience in ADAM and R programming Experience with R Packages, R programming - Data Manipulation R Shiny dashboard is a plus R Markdown is a plus R Validation and Debugging options experience

Role & responsibilities Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures. Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Manages a team of data analysts and newer data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. Executes operational plans to achieve department objectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals. Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders. Participates in special projects and performs other duties as assigned. Designs and refines data mining architectures, analytical protocols, and statistical reporting methods to identify actionable trends in large and complex datasets. Applies advanced data science principles and emerging technologies to develop models that inform strategic decisions across functions such as marketing, supply chain, and economic forecasting. Conducts research to evaluate cutting-edge analytics methodologies, aiming to enhance organizational capabilities and maintain competitive advantage. Preferred candidate profile Minimum 8 years of experience in analytical roles with team leadership responsibilities. Bachelors degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, Computer Science or a related field; Master’s degree preferred. Proficiency in data wrangling and statistical modeling using programming languages (e.g., Python, R, SQL); strong command of machine learning techniques, data mining protocols, and advanced data analysis methodologies.

We are seeking an experienced Shiny Application Developer who can translate design concepts into interactive, production-ready Shiny applications. The ideal candidate combines strong R programming skills with experience in UI customization and advanced Shiny patterns, including state management, modular design, and extending Shiny with JavaScript when necessary. Responsibilities Build high-quality Shiny applications directly from Figma wireframes and design specifications. Implement custom UI components within Shiny using CSS and light JavaScript for R (e.g., custom input/output bindings, small DOM manipulations, htmlwidgets). Create or extend htmlwidgets to support bespoke visualizations and interactivity. Design and manage application state using R6 classes and modular Shiny architecture. Develop applications with complex interactive behaviors, such as: Cross-component reactivity and communication Persistent state management Dynamic filtering, drill-downs, and user-driven exploration Ensure application performance, testing, and reliability in production environments. Collaborate closely with designers, analysts, and product stakeholders to deliver polished applications. Qualifications Proven experience developing advanced Shiny applications from wireframes or design specs. Strong knowledge of R, Shiny, and reactive programming. Proficiency with custom HTML and CSS styling in Shiny to deliver applications that match Figma/UX specifications. Familiarity with bslib and Bootstrap 5, including creating custom modals, waiters, and tooltips. Practical experience with JavaScript in the Shiny context: Writing or modifying custom input/output bindings Enhancing reactivity via shinyjs or htmlwidgets Extending Shiny with lightweight JS code where necessary Experience using R6 classes for state management and encapsulating business logic. Familiarity with advanced Shiny practices, including modular design, async operations, and bookmarking/session state. Knowledge of testing frameworks (e.g., shinytest2, testthat) Git for version control Bonus: Experience with performance tuning (caching, async), deployment (Shiny Server / Posit Connect / Docker), or integration with APIs and databases.

ROLES and RESPONSIBILITIES: Implementation of statistical programming strategy related to innovation in technologies, automation, processes, and standards to maximize efficiency Support the development and implementation of a programming ecosystem to enable successful project deliverables Review statistical analysis plans, mock-shells, database set-up specifications Validate or Review the Programming packages (includes the aCRFs, specifications and datasets, Define.XML and Reviewers Guides (for both SDTM and ADaM) Develop department programming standards to meet business needs and regulatory requirements, enabling efficient and seamless production of deliverables Develop innovative solutions to standardize, automate and optimized efficiency and quality Proactively addresses project uncertainties to minimize risk and alerts or escalates the issue to the appropriate person (project team member, lead biostatistician, or management), identifies, communicates, and overcomes technical and interpersonal obstacles Development and maintenance of tracking systems, folder systems and archival of analysis Contributes strategies that allow multi-tasking or efficient implementation to reduce execution time to meet deadlines in fast-paced environment Build a team of programmers to support ongoing pipeline expansion

ROLES and RESPONSIBILITIES: Perform review of Protocol, Case Report Forms, annotated Case Report Forms, Statistical Analysis Plan, and mock shell Review Specifications, SDTM domains, ADaM datasets, TLFs, P21 reports, define packages [Define.xml], and Reviewers guide [RGs] for all the deliverables Develop and/or validate SDTM domains, ADaM datasets, and TLFs using SAP and mock shells Setup the folder structure for the assigned study as per the SOP Forecast the work for the team and provide a vision of the ongoing project objectives/milestones and provide clarity on the upcoming projects Provide the study status to the Project Manager/Client periodically Identify, communicate, and manage study-based risks and issues within the timeframe to the Project manager/Clients Maintain supporting documentation for studies in accordance with SOPs, and Work Instructions (WI) to ensure traceability and regulatory compliance Contribute to the development of Statistical Programming standards and processes to improve the quality, productivity, and efficiency Adhere to learning and developing knowledge on the latest in CDISC Therapeutic standards, GCP, and applicable ICH guidelines Provide guidance, mentoring, and training for junior team members as appropriate. Ensure audit readiness and quality control for all assigned statistical programming deliverables as well as the accuracy and reliability of statistical analysis results To ensure that the assigned team members are in compliance with SOPs and training requirements

ROLES and RESPONSIBILITIES: Perform statistical programming review of case report forms (CRFs), annotated CRFs, database structures, statistical analysis plan (SAP) project documentation such as Statistical Analysis Plan (SAP), mock shells, programming specifications and annotated CRFs Provide the statistical programming support for assigned studies, in both production and QC of analysis dataset specifications, analysis datasets, statistical analysis tables, data listings, figures, and statistical appendices Provide the status of assigned tasks to Study Lead Programmer and Project Manager Identify, communicate, and manage study-based risks and issues Maintain supporting documentation for studies in accordance with SOPs, Work Instructions (WI) to ensure traceability and regulatory compliance Contribute to development of Statistical Programming standards and processes to improve quality, efficiency, and effectiveness Ensure audit readiness and quality control for all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results Adhere learning and develop knowledge on the latest in CDISC Therapeutic standards, GCP and applicable ICH guidelines

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Platform Engineering Senior Engineer Location: Chennai Work Type: Hybrid Position Description: Overall 5+ years experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.) Programming proficiency in Python, SAS, or SQL (multiple languages advantageous) Advanced coding skills in R, Python, Java, or SQL System testing expertise: Proficiency with testing capabilities within decision management platforms STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Knowledge and understanding of analytical model development, credit bureau data, and financial services Knowledge of lending landscape and various in-house and outsourced systems, applications & services used by Decision Systems Strong analytical, problem-solving and organisational skills with attention to detail Ability to work and adapt in fast-changing environment with tight delivery timelines Ability to manage multiple large-scale projects Strong verbal and written communication skills Able to network and build strong relationships with internal and external peer groups Skills Required: R (Programming Language), Python, Sas (Software), SQL, Credit Scores, Credit Analysis, Financial Services Skills Preferred: Agile Software Development, CI/CD Experience Required: Overall 5+ years experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.) Programming proficiency in Python, SAS, or SQL (multiple languages advantageous) Advanced coding skills in R, Python, Java, or SQL System testing expertise: Proficiency with testing capabilities within decision management platforms STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Knowledge and understanding of analytical model development, credit bureau data, and financial services Knowledge of lending landscape and various in-house and outsourced systems, applications & services used by Decision Systems Strong analytical, problem-solving and organisational skills with attention to detail Ability to work and adapt in fast-changing environment with tight delivery timelines Ability to manage multiple large-scale projects Strong verbal and written communication skills Able to network and build strong relationships with internal and external peer groups Experience Preferred: FICO systems experience strongly preferred Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge of the client's Credit or automotive manufacturer finance operations Previous experience transitioning from vendor-managed to in-house platforms Champion/challenger testing methodology experience Education Required: Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Purpose The role of the Principal Programmer is to provide programming support to the statistics and programming department across a range of projects, clients and therapeutic areas. The Principal Programmer may also perform a supervisory role (e.g. line management and/or project management). Key Responsibilities Supporting with CDISC implementation of studies with Real world data QC of SDTM/ADaM datasets as required Review the aCRF, Specs, relevant documentation like SDRG/ADRG, Define.xml as relevant Expertise working across different disease areas like Oncology, Vaccines, Respiratory etc Guide Real World Programmers on NIS with CDISC expectations Technical: Perform review of clinical trial documents including protocols, SAPs, CRFs, CSRs Author, review and approve study TFL shells and dataset specifications Author, validate and document SAS programs for datasets, TFLs and macros, applying good programming practice Identify data issues and outliers Complete, review and approve CDISC Validation tool reports Identify data and standards issues and resolve or escalate as appropriate Awareness of emerging standards and associated impact to ongoing and future planned trials Maintain proficiency in SAS and awareness of developments Maintain study master file documents and any other documents that are required to be audit ready People Management: Line management of statisticians, programmers and other technical staff. Accountable for overall performance of direct reports Provide coaching and mentoring of staff to achieve excellence. Direct employee career development and ensure line reports receive appropriate training to perform their day-to-day jobs Interview and effectively on-board and integrate new staff members Provide programming technical leadership and coaching Project Management: Oversight of key client projects/portfolios. To include: Being Veramed Project Manager on client accounts and projects Maintain the project plan Proactive management of resource, scope change and risks Manage the delivery of projects to budget Manage client expectations and issue resolution General: Lead internal and client study, project and cross functional team meetings effectively Present study updates internally and at client meetings Share scientific, technical and practical knowledge within the team and with colleagues Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training Build effective collaborative working relationships with internal and client team members Ensure learnings are shared across projects or studies Develop and provide internal technical training where appropriate Lead process improvement initiatives Minimum Qualification Requirements BSc, MSc or PhD in numerical discipline (or relevant equivalent industry experience) At least 8 years of relevant industry experience Other Information/Additional Requirements Understanding of clinical drug development process, relevant disease areas, endpoints and study designs Awareness of industry and project standards & ICH guidelines Excellent verbal and written communication skills Interpersonal/teamwork skills for effective interactions Proficiency in data handling using SAS or other statistical software (e.g. R) Self-management skills with a focus on results for timely and accurate completion of competing deliverables Demonstrated problem solving ability and attention to detail Ability to work independently and as part of a team Ability to manage a portfolio of projects and/or people

Purpose The role of the Principal Statistician is to provide statistical support to the statistics and programming department across a range of projects, clients and therapeutic areas. The Principal Statistician may also perform a supervisory role (e.g. line management and/or project management). Key Responsibilities Development of Methods Table: The candidate will lead the effort to develop and refine versions of the methods table, which will list methodologies required for clinical trial reporting and align those methods to existing R packages or identify gaps to be filled. Collaboration with various SMEs and regular reviews with experts will be essential. Package Review: - The candidate should be capable of conducting package reviews from a statistical methods perspective - While the candidate may not be an expert in all areas, they must proactively engage relevant experts when needed - Responsibilities include (as required) reviewing journal publications, conducting simulations (if required), and assessing whether the methods applied in the package align with the latest capabilities or improve upon current state-of-the-art tools. Prioritization of Package Evaluation: The candidate will help prioritize package evaluations, which may involve liaising with respective PS or SLS teams. They will recommend project teams based on available alternatives in the methods table, which will involve interaction with SMEs and package development teams. Strategic Communications: This individual will partner with client on communications at the Stats VP level, highlighting progress, focus areas, and key updates. Desired Capabilities: Strong statistical methods expertise with the ability to quickly learn and apply new methodologies. Solid knowledge of clinical study reporting, including inferential and modeling perspectives. Proficiency in R, with practical experience using diverse R packages. Working knowledge of SAS, ideally with an understanding of how Stats PROC aligns with statistical methods to help identify corresponding R packages. Technical: Perform technical review and provide input into clinical trial documents including protocols, CRFs, CSRs Author and review study SAP, TFL shells and dataset specifications Support study and/or compound level activities advising on study design and statistical issues across phases and therapeutic areas Author, validate and document SAS programs for datasets, TFLs and macros, applying good programming practice Application of complex statistical techniques (e.g. mixed effects, non-linear modelling, Bayesian, advanced survival), model checking and interpretation Identify and implement appropriate sample size method using software or simulations Identify data and standards issues and resolve or escalate as appropriate Awareness of emerging standards and associated impact to ongoing and future planned trials Maintain proficiency in statistical methodology Maintain study master file documents and any other documents that are required to be audit ready People Management: Line management of statisticians, programmers and other technical staff. Accountable for overall performance of direct reports Provide coaching and mentoring of staff to achieve excellence. Direct employee career development and ensure line reports receive appropriate training to perform their day-to-day jobs Interview and effectively on-board and integrate new staff members Provide statistical technical leadership and coaching Project Management: Oversight of key client projects/portfolios. To include: Being Veramed Project Manager on client accounts and projects Maintain the project plan o Proactive management of resource, scope change and risks Manage the delivery of projects to budget Manage client expectations and issue resolution . General: Lead internal and client study, project and cross functional team meetings effectively Present study updates internally and at client meetings Share scientific, technical and practical knowledge within the team and with colleagues Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training Build effective collaborative working relationships with internal and client team members Ensure learnings are shared across projects or studies Develop and provide internal technical training where appropriate Lead process improvement initiatives Minimum Qualification Requirements MSc or PhD in Statistics/Biostatistics (or equivalent) At least 7 years of relevant industry experience Other Information/Additional Requirements Understanding of clinical drug development process, relevant disease areas, endpoints and different study designs Awareness of industry and project standards & ICH guidelines Excellent verbal and written communication skills Interpersonal/teamwork skills for effective interactions Proficiency in data handling using SAS or other statistical software (e.g. R) Self-management skills with a focus on results for timely and accurate completion of competing deliverables Demonstrated problem solving ability and attention to detail Ability to work independently and as part of a team Ability to manage a portfolio of projects and/or people Specific Key Responsibilities:

Good Knowledge of Python, R-Program & BI, Machine Learning, Deep Learning etc.

Company Overview: HouseEazy is a cutting-edge prop-tech startup that transforms the buying and selling of ready houses into a seamless experience with just a click. Our mission is to revolutionize resale transactions by making them transparent, straightforward, and fast. We prioritize trust and safety, offering a significant improvement over the traditional, often complex, process. Responsibilities: Develop detailed, comprehensive, and well-structured test plans and test cases. Execute thorough functional, user, regression, and load testing using manual and automated testing suites as appropriate. Document all observations and issues in Jira. Review requirements, specifications, and technical design documents to provide timely and actionable feedback. Requirements: 3+ years of relevant experience in software testing for web and mobile applications. Strong understanding of software QA methodologies and processes. Proficiency with bug tracking tools, particularly JIRA. Experience with API testing tools such as RapidAPI, Postman, or RestAssured. Strong analytical and problem-solving skills. Knowledge of the bug life cycle and Software Testing Life Cycle (STLC) process.

Key Responsibilities: Reviewing protocol SAP & RAP preparation and implementation Sample size calculation Provides statistical consultations Preparing and reviewing randomization list Preparing and reviewing of tables, listing and graphs, as applicable Preparing and reviewing of statistical report, as applicable Provides support for blinding and unblinding documentations Preparing and reviewing standard operating procedures Training/Guiding/Mentoring associate biostatisticians and junior programmers. Objectives setting and appraisal for the team Facing client to answer statistical queries Any other responsibilities assigned by the organization from time to time Educational Qualification: M.Sc. in Statistics, Ph.D. in Statistics or any equivalent degree in Statistics Technical/functional Skills: Expert in any programming language (preferably R and SAS) Clinical Trials Exposure Pharmacokinetics and Phase I-IV Experience: 10-15 Years Behavioral Skills: Proficient in English (reading and writing), Stress Management, Empathy, Conflict resolution and Patience.

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications. Perks and benefits: Mention available facilities and benefits the company is offering with this job.

Urgent Vacancy – Solutions A2D Number of vacant posts – 9 Writers + 2 Team Leaders Greetings from Solutions A2D, We are looking for Academic Content Writing Experts for our reputed organization, Solutions A2D. We work on a global platform dedicated to personal growth, mental health, relationships, and self-improvement. Our organization aims to create insightful and engaging content that resonates with our clients’ requirements, especially in the UK, Ireland, Germany, Australia and the USA. Job Location: 23 B Bakultala Lane, Kasba, New Ballygaunge, Kolkata – 700 042 Contact Person – Ankan Mukherjee Contact Number - +919007635218 We are looking for passionate Academic Content Writers, especially technical Experts fluent in Java, Python, C, C++, R codes, and Wireshark. We are also looking for writers having expertise in Financial Calculations (Having Accurate knowledge with ROI, Ratio calculations, Balanced Scorecards, Annual Reports), Accounting calculations, Statistical Calculations (Experience with SPSS, NVivo), Biology and Nursing Experts. If you enjoy writing, researching for Content optimization, this opportunity is for you. Number of Vacancies as per requirements Biology and Nursing Writer – 1 Vacancy Technical Writer – 2 Vacancies Finance and Accounting Writer – 2 Vacancies Statistical Writer - 2 Vacancies Management Writer - 2 Vacancies Key Responsibilities. Research and write on different briefs based on expertise subjects and topics related to Technology, statistics, finance, biology, nursing, management, marketing, business etc. What you will gain In-hand Salary – 18000 – 25000 (Depends on Quality and Experience) Job Types: Full-time Schedule: 10.30 AM – 7.30 PM (Monday to Saturday) Work Location: In person from the office only Application Deadline: 29/08/2025

Role & Responsibility Must Have 5+ Years Experience in Data Science in Test (AI/ML/Testing) R language experience is a must Ability to learn new AI/ML tools and use them effectively Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Demonstrated experience data retrieval from various SDLC systems and analytic reporting databases. Familiarity with databases and database query languages such as MySQL, Access, and SQL. Experience with Python and other programming languages. Ability to interface effectively with clients and work constructively on a team. Excellent verbal and written communications skills. Experience with cloud computing environments and data science tools such as AWS, Sage Maker, GCP and Databricks. Experience with NLP algorithms such as LSA, LDA, and QNLI. Experience with JIRA, Confluence, and GitHub. Knowledge of software engineering and structured software development. Demonstrated ability performing statistical data analysis.

Role & responsibilities What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What youll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. What you will get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more.!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Preferred candidate profile

Global Gen AI Developer Enabling a software-defined, electrified future. Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here. Mission of the Role: Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally. Key Objectives of this Role: The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteons strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteons technological capabilities. Qualification, Experience and Skills: 6-8 Yrs Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). Proficiency in developing, training, and deploying ML models, including supervised and unsupervised learning, deep learning, and reinforcement learning. Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. Experience with cloud platforms (preferably Microsoft Azure) for deploying and scaling ML solutions. Business Acumen : Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations. Key Behaviors: Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward. Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation. Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

Qualification Masters related to Bioinformatics and Computational Biology Role & responsibilities - Combine and analyze multi-omics datasets to find common biological signals and actionable targets. - Classify disease and immune subtypes from both bulk and single-cell data using supervised and unsupervised machine learning methods. - Organize public datasets, evaluate analytical tools, and standardize workflows for clarity and reuse. - Conduct quality control, normalization, subtype and signature predictions across various sequencing platforms. - Create and maintain complete analysis pipelines for new technologies such as spatial transcriptomics - Search large consortia or databases for comparative studies and hypothesis generation. - Optimize resource use and job scheduling on Linux or HPC clusters; maintain version control and documentation. Preferred candidate profile - Programming & Scripting: R, Python, UNIX shell - Statistics & ML: Feature selection, clustering, predictive modeling, dimensionality reduction, survival analysis - Bulk & Single-Cell Analytics: RNA-seq, WES/WGS, methylation, proteomics, RPPA, scRNA-seq - Workflow & Reproducibility: Workflow managers, such as Nextflow or Snakemake, containers, Git - Data Resources: Major public repositories like TCGA and GEO, and internal cohort data management