Responsibilities Develop business plans and implement related activities like customer events, sales & marketing campaigns, sales presentations necessary to achieve agreed objectives Accountable for achieving agreed sales, productivity and performance targets within agreed budgets and timescales, provide Key account/hospital network support, market access support, including referral networks. Have a deep understanding in the respective specialist area and priority products. Maintain and enhance knowledge of products, product strategy, positioning, key messages, programs, company developments, customers, and competitors Achieve agreed contact, coverage and frequency targets through various communication channels, ensure customer satisfaction and best in class customer relationship, ensure the accurate and timely completion of all reports, handle enquiries and complaints quickly and professionally and in accordance with company procedures. Contribute positively to the Sales and Marketing team through co-operative relationships and collaborative efforts to achieve team and company objectives. provide input into effective use of promotional funds and territory sales forecasting. Follow all adverse events guidelines, and Code of Conduct Guidelines as promoted by Novartis Demonstrate Behavior in accordance with Novartis code of practices. In case of a Manager/ Leader; the person is responsible for the sales planning; target; reporting; and knowledge of the team/account and of himself/herself. Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt. Distribution of marketing samples (where applicable) Achievement of sales revenue and market share targets vs plan. Responsible for budget allocated to cover customer activities. Customer Satisfaction and Customer relationship building. Maintenance of Key Accounts -Sales Planning and Reporting     Qualifications & Experience 2+Sales experience in Healthcare / Pharma / related business, established Network to target Customer Group desirable Territory knowledge is must. Science educational background is must, B.Sc, B.Pharma Good communication skills Desirable Requirements: Cardiovascular experience

Responsibilities The role holder will proactively drive deeper engagement on educational & scientific content with multiple clinicians like Intensivists and stakeholders like Microbiologists in a demanding, large scale hospital setup. (S)He will streamline customer interface by acting as single POC for proactive & seamless (compliant) connection to Pfizer Medical and other SMEs and resources within and outside the Category. Liaison with internal stakeholders like Medical, Corporate Affairs etc. to support integrated AMS initiatives. Will be responsible for onboarding customers to new operating model platforms (e.g., Digital Engagement Portal) Will have strong knowledgeable of customer preferences for content and channels to orchestrate an ideal customer experience through relevant content selection Will work with the Health Solutions Manager to attain improved patient outcomes through HCP and patient education and services enabled by deep scientific expertise Will provide insights to appropriate stakeholder to improve service provided to the customer along with design expertise     Qualifications & Experience Graduate in science related discipline Bachelors / Masters in Microbiology is preferred Management and/or marketing experience strongly recommended 5+ years of pharmaceutical, biotech or medical/marketing/sales management experience with focus on  customer centric behavior or Key Account Management, and demonstrated leadership. Experience working as HSP or similar commercial roles is preferred Experience of working in the geography and local language proficiency is preferred.

Responsibilities Contributing clinical expertise to patient care and providing guidance to junior physicians. Performing administrative duties and risk management. Ensuring the highest standards in patient care are maintained. Verifying complex diagnoses and facilitating treatment plans. Hiring, supervising, and mentoring healthcare professionals and collaborating with consultants. Managing allocated budgets and identifying areas of improvement in inpatient care. Keeping informed on advancements in the field and contributing to medical research programs. Ensuring compliance with healthcare regulations and safety standards. Reporting to senior management, as well as liaising between administrative and medical staff. Ensuring consistent and accurate medical recordkeeping practices.   Qualification MBBS with Tamilnadu Council Register Doctor   Note: Please ensure you include this in the EMAIL Subject line: "medbots.in: YourName: Years  of Experience"  

Responsibilities Supporting and coordinating activities for SID Predictive Sciences by orchestrating activities across four work streams that include Digital Design, Digital Lab, Digital Manufacturing and Data Core. Work with Pfizer scientists to develop understanding of material properties, dosage form identification, stability, and manufacturing processes used in SI dosage form design and manufacture (liquids, suspensions, emulsions, lyophilized products, combination products, etc.) and apply material characterization and computational tools in support of formulation and process design, optimization, and troubleshooting, and dosage form quality attributes. Coordinate activities to identify opportunities to use engineering knowledge and computational tools to help solve complex project challenges. Be able to work in matrix environment supporting a team of scientists with minimal supervision, to define the problem statement, then develop and execute a modeling work plan to solve the issue. Using a variety of computational techniques, develop predictive tools and models to support drug development/manufacturing efforts for the Pfizer portfolio. Modeling techniques include (but are not limited to): discrete element method (DEM), computational fluid dynamics (CFD), process models and flowsheets, statistical techniques, population-balance models (PBM), and first-principles engineering models. Partner and influence Sterile Injectable Design teams through late-stage project and co-development milestones to incorporate design thinking into program activities, including clinical (when appropriate) and commercial formulation identification and process selection, stability risk assessments, products manufacturing, technology transfer to commercial sites, and/or registration activities. Communicate and manage technical and business risks to senior management. Work with global colleagues / leaders to promote application of computational models and digital tools in SI products development workflows. Drive the development of state-of-the-art computational modeling and characterization tools. Summarize, communicate, and/or present results internally and externally at leading scientific conferences and scientific journal publications. Present scientific results to a diverse audience through engaging data analysis and visualizations. Work with external partners (e.g., universities, research organizations) and vendors (e.g., software companies) to execute and deliver well-defined modeling or characterization projects. Develop and deploy Predictive / Data Science workflows across SID in support of project objectives. Develop and maintain best practices for digital activities in SID through a network of key internal and external experts. Report regularly to SID Leaders / Digital Sponsors. Establish long-term and short-term objectives for the projects he/she leads. Establish an effective framework that will support and ensure the broader adoption of Predictive / Data Sciences and Solutions within SID workflows. Partner with SID leaders in securing the right resources to integrate Digital accelerators within the respective workflows.     Qualification & Experience Doctorate degree (Ph.D.) in Chemical Engineering, Mechanical Engineering, Pharmaceutical Engineering, Physics or Physical Sciences, or related discipline, with relevant educational background in computational modeling (experience with CFD, FEA or other numerical analysis, with an ability to work with a mainstream CFD software). At least 5 years’ research experience in a related industrial/academic setting with a minimum of 2 years of relevant experience in pharmaceutical or related industry. Research must be focused on computational modeling applied to fluid flows and/or multiphase flows.  

Supporting and coordinating activities for SID Predictive Sciences by orchestrating activities across four work streams that include Digital Design, Digital Lab, Digital Manufacturing and Data Core. Work with Pfizer scientists to develop understanding of material properties, dosage form identification, stability, and manufacturing processes used in SI dosage form design and manufacture (liquids, suspensions, emulsions, lyophilized products, combination products, etc.) and apply material characterization and computational tools in support of formulation and process design, optimization, and troubleshooting, and dosage form quality attributes. Coordinate activities to identify opportunities to use engineering knowledge and computational tools to help solve complex project challenges. Be able to work in matrix environment supporting a team of scientists with minimal supervision, to define the problem statement, then develop and execute a modeling work plan to solve the issue. Using a variety of computational techniques, develop predictive tools and models to support drug development/manufacturing efforts for the Pfizer portfolio. Modeling techniques include (but are not limited to): discrete element method (DEM), computational fluid dynamics (CFD), process models and flowsheets, statistical techniques, population-balance models (PBM), and first-principles engineering models. Partner and influence Sterile Injectable Design teams through late-stage project and co-development milestones to incorporate design thinking into program activities, including clinical (when appropriate) and commercial formulation identification and process selection, stability risk assessments, products manufacturing, technology transfer to commercial sites, and/or registration activities. Communicate and manage technical and business risks to senior management. Work with global colleagues / leaders to promote application of computational models and digital tools in SI products development workflows. Drive the development of state-of-the-art computational modeling and characterization tools. Summarize, communicate, and/or present results internally and externally at leading scientific conferences and scientific journal publications. Present scientific results to a diverse audience through engaging data analysis and visualizations. Work with external partners (e.g., universities, research organizations) and vendors (e.g., software companies) to execute and deliver well-defined modeling or characterization projects. Develop and deploy Predictive / Data Science workflows across SID in support of project objectives. Develop and maintain best practices for digital activities in SID through a network of key internal and external experts. Report regularly to SID Leaders / Digital Sponsors. Establish long-term and short-term objectives for the projects he/she leads. Establish an effective framework that will support and ensure the broader adoption of Predictive / Data Sciences and Solutions within SID workflows. Partner with SID leaders in securing the right resources to integrate Digital accelerators within the respective workflows.     Qualification & Experience   Doctorate degree (Ph.D.) in Chemical Engineering, Mechanical Engineering, Pharmaceutical Engineering, Physics or Physical Sciences, or related discipline, with relevant educational background in computational modeling (experience with CFD, FEA or other numerical analysis, with an ability to work with a mainstream CFD software). At least 5 years’ research experience in a related industrial/academic setting with a minimum of 2 years of relevant experience in pharmaceutical or related industry. Research must be focused on computational modeling applied to fluid flows and/or multiphase flows. Strong interest and a relevant hands-on industrial experience in providing solutions to complex technical problems applying scientific approaches. Strong understanding of engineering fundamentals, including but not limited to fluid mechanics and heat and mass transfer.

Responsibilities   Act as a point of contact for Safety in the Asset Teams, ensuring a unified communication on safety matters and representing WWS position(s) on safety Chairs RMCs and Core Working Groups for his/her assigned products with oversight Represents Pfizer WWS at internal (e.g. governance and business unit disease area leadership teams) and external forums (e.g. regulatory authority and business partner interactions) as agreed with Manager Evaluates safety data of any source with oversight, identifies and analyzes safety signals, and presents medical evaluation of safety signals and benefit-risk assessments to the appropriate forums Provides disease area specific pharmacovigilance expertise, and applies this to various business unit products assigned to him/her Assists with preparation of basic action plans to address risk and benefit-risk issues, often requiring cross-functional activity to address safety issues and risk minimization plans Prepares and contributes to written safety assessments and benefit-risk evaluations Reviews and approves, as appropriate, safety documents including those pertaining to the B-R profile of Pfizer’s products Ensures consistency of safety risk messaging for a particular product or class of products, across multiple indications/BUs. Represents SSRM on due diligence activities Identifies opportunities for consistency and standards for safety surveillance and risk management processes Innovates, champions and implements novel approaches to safety surveillance and risk management across Pfizer’s portfolio of products: engages in continuous improvement initiatives, Safety Sciences Research & Communications activities, including methodological improvements Engages in inspection readiness support including provision of data to project managers for metrics and activity tracking Develops a culture of courage, excellence, equity and joy within the team including regular communications, coaching, and mentoring of the team as required. Makes decisions based on clinical experience Assesses the suitability of biopharmaceutical products on typical physician practice within various health systems, hospital and non-hospital patient care facilities.   Qualification & Experience MD (physician) Minimum Years of Experience: 2 years