Rohini IT Consulting LLP

Territory Sales Manager

The Territory Manager is responsible for overseeing the sales operations within a designated geographic area or territory. This role involves driving sales growth, managing relationships with key clients, identifying new business opportunities, and ensuring that sales targets and quotas are met. The Territory Manager will work closely with the sales team and senior management to align territory-specific strategies with the company’s overall goals.

Key Responsibilities:

Sales Growth & Target Achievement: Develop and execute sales strategies to achieve or exceed sales targets within the assigned territory. Identify and capitalize on growth opportunities to increase market share and revenue.

Client Relationship Management: Build and maintain strong, long-term relationships with key clients, distributors, and partners in the territory. Regularly meet with clients to understand their needs and provide solutions that align with the company’s products/services.

Market Analysis & Competitive Intelligence: Conduct market research to understand industry trends, competitor activities, and customer preferences within the assigned territory. Use insights to develop effective sales strategies and ensure the company remains competitive.

Sales Reporting & Forecasting: Maintain accurate records of sales activities, opportunities, and customer interactions. Provide regular sales reports to senior management, including forecasts, pipeline updates, and performance analysis.

Training & Development: Assist in the training and development of junior sales staff or account managers within the territory. Share best practices and collaborate on sales techniques to ensure team success.

Cross-functional Collaboration: Collaborate with other departments (e.g., marketing, product management, customer support) to align sales efforts with broader company initiatives. Work with logistics and customer service teams to ensure smooth delivery and fulfillment of customer orders.

Negotiation & Contract Management: Lead negotiations with key clients and partners to close deals. Ensure all contracts are aligned with company policies and profitability goals.

Customer Feedback & Product Improvement: Gather and communicate customer feedback to the product development team to help improve product offerings and services. Act as the voice of the customer within the organization.

Qualifications:

Bachelor’s degree in Business, Marketing, or related field (or equivalent experience).

Experience Requirements:

6+ years of experience in sales, preferably in a similar industry. Experience in managing a sales territory or region is a plus.

Skills Required:

·      Proven ability to meet or exceed sales targets and quotas.

·      Strong communication, presentation, and negotiation skills.

·      Excellent organizational and time management abilities.

·      Proficient in CRM software (e.g., Salesforce) and Microsoft Office Suite.

·      Ability to analyze market data and customer needs to develop effective sales strategies.

·      Self-motivated with a strong drive to succeed and work independently.

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Role: Real-World Evidence (RWE) Analyst

Location: Bangalore (Remote)

Experience:4 to 8+ years

JOB DESCRIPTION

Real-World Evidence (RWE) Analyst

Summary:

As an experienced Real-World Evidence (RWE) Analyst, you will leverage our cutting-edge healthcare data platform (accessing over 60 million lives in Asia, with ambitious growth plans across Africa and the Middle East) to deliver impactful clinical insights to our pharmaceutical clients. You will be involved in the full project lifecycle, from designing analyses to execution and delivery, within our agile data science team. This is an exciting opportunity to contribute significantly to a growing early-stage company focused on improving precision medicine and optimizing patient care for diverse populations.

Responsibilities:

·      Contribute to the design and execution of retrospective and prospective real-world research, including epidemiological and patient outcomes studies.

·      Actively participate in problem-solving discussions by clearly defining issues and proposing effective solutions.

·      Manage the day-to-day progress of assigned workstreams, ensuring seamless collaboration with the data engineering team on analytical requests.

·      Provide timely and clear updates on project status to management and leadership.

·      Conduct in-depth quantitative and qualitative analyses, driven by project objectives and your intellectual curiosity.

·      Ensure the quality and accuracy of analytical outputs, and contextualize findings by reviewing relevant published research.

·      Synthesize complex findings into clear and compelling presentations and written reports (e.g., slides, documents).

·      Contribute to the development of standards and best practices for future RWE analyses.

Requirements:

·      Undergraduate or post-graduate degree (MS or PhD preferred) in a quantitative analytical discipline such as Epidemiology, (Bio)statistics, Data Science, Engineering, Econometrics, or Operations Research.

·      8+ years of relevant work experience demonstrating:

o  Strong analytical and problem-solving capabilities.

o  Experience conducting research relevant to the pharmaceutical/biotech industry.

·      Proficiency in technical skills including SQL and at least one programming language (R, Python, or similar).

·      Solid understanding of the healthcare/medical and pharmaceutical industries.

·      Proven experience in managing workstream or project management activities.

·      Excellent written and verbal communication, and strong interpersonal skills with the ability to build collaborative partnerships.

·      Exceptional attention to detail.

·      Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Other Desirable Skills:

·      Demonstrated dedication to teamwork and the ability to collaborate effectively across different functions.

·      A strong desire to contribute to the growth and development of the RWE analytics function.

·      A proactive and innovative mindset with an entrepreneurial spirit, eager to take on a key role in a dynamic, growing company.