Sales Manager

Job Title: Customer Support Executive (Work From Office)

Working Days: 6 days a week

Shift: 9-hour rotational shifts

Week Off: Rotational

Eligibility: Graduates – Freshers can apply

Undergraduates – Minimum 1 year of experience required

Fluent English communication is mandatory

Salary: ₹15,000 – ₹18,000 in-hand

Role: Handle customer queries professionally, provide accurate information, and ensure a smooth customer experience.

Strong Sales manager, business development manager, accounts sales executive profile

Mandatory (Experience 1): Must have 7+ years of overall Business Development experience in SaaS, or technology solutions/servcies

Mandatory (Experience 2): Must have atleast 3+ years of experience in Selling SaaS of which 1+ should be in global market (USA market preferred)

Mandatory (Experience 3): Must have end-to-end ownership of sales pipeline — lead gen, prospecting, pitching, negotiations, and closure.

Mandatory (Experience 4): Must have hands-on experience driving new business growth, not just managing accounts or partnerships.

Mandatory (Experience 5): Must have demonstrated strong deal-closing capability, including negotiations with C-level or senior stakeholders

Mandatory (Tech Skills ): Must be proficient in CRM tools, sales enablement tools, presentation tools, and proposal documentation.

Mandatory (Company): B2B SaaS (preferred HealthTech, PharmaTech, Biotech, DrugTech..)

Mandatory (Stability): Must have atleast 2+ years of experience in each of the previous companies (if less exp, then proper reason)

Preferred Companies

Dotmatics, Benchling, Thermo Fisher Digital Science, PerkinElmer Signals, Labguru, LIMS providers (LabWare, STARLIMS), Schrödinger SaaS suite, Revvity Informatics, Genedata, Certara, Accenture Life Sciences Cloud, ArisGlobal, Veeva Systems, (Biotech/Bioinformatics), Sapio Sciences (ELN/LIMS), ACD/Labs, Aragen Life Sciences, Sai Life Sciences, Syngene International, GVK BIO / Aragen Discovery (legacy pool), Eurofins Scientific, Charles River Laboratories, WuXi AppTec, Thermo Fisher (Patheon), LabCorp Drug Development, ICON Plc, PPD (Thermo Fisher), SGS Life Sciences, Jubilant Biosys, Anthem Biosciences, TCG Lifesciences, Aurigene Discovery, Vimta Labs, Paras Biopharma, Syneos Health, Medpace, Bio-Rad, Illumina, Agilent Technologies, Waters Corporation, BD Biosciences, Thermo Fisher Scientific, 10x Genomics, NanoString, Bruker, QIAGEN, Hamilton Robotics, Tecan, Beckman Coulter Life Sciences

Job Overview

We are seeking a professional, well-presented Receptionist to serve as the first point of contact for clients and visitors. The ideal candidate will create a welcoming front-desk experience while efficiently handling daily reception responsibilities and providing basic administrative support to the HR/Admin team.

Key Responsibilities

• Greet and welcome clients, visitors, and guests with professionalism and warmth
• Manage incoming calls, emails, and general inquiries promptly and courteously
• Ensure the reception area is clean, organized, and presentable at all times
• Schedule appointments and coordinate calendars as required
• Manage office supplies and coordinate with vendors and service providers
• Maintain records, files, and documents in an organized manner
• Coordinate couriers, deliveries, and incoming/outgoing mail
• Provide administrative support for meetings, interviews, and office activities
• Assist with day-to-day office operations and support other departments when needed

Required Skills & Qualifications

• Excellent verbal and written communication skills in English (Kannada proficiency is a plus)
• Professional, presentable, and well-groomed appearance
• Strong organizational, multitasking, and time-management skills
• Proficiency in MS Office (Word, Excel, Outlook)
• Friendly, approachable, and customer-focused attitude
• Prior experience in a receptionist or front-desk role is an added advantage

Job Title: QA Engineer – ETL & HL7 (Data Pipeline QA) Location: Remote – India (UK Working Hours)

Job Type: Full-Time Company: BigRio

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients

across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

Job Description:

We are seeking a highly skilled and detail-oriented QA Engineer with strong experience in ETL testing and HL7 validation to join our growing data engineering team. This role will focus on data pipeline testing, ensuring data accuracy, quality, and integrity as it moves

across systems and services in a healthcare-focused environment.

Key Responsibilities:

·        Design, develop, and execute test plans and test cases for ETL processes and data pipelines.

·        Validate data transformations, data integrity, and completeness across source and target systems.

·        Conduct end-to-end testing of HL7 messages and healthcare data flows.

·        Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.

·        Automate QA processes wherever feasible using appropriate scripting and tools.

·        Perform root cause analysis and ensure timely defect resolution.

·        Ensure compliance with data quality standards and healthcare regulations.

Required Qualifications:

·        4+ years of experience in QA with a focus on ETL/data pipeline testing.

·        Hands-on experience with HL7 message formats and healthcare data exchange.

·        Strong understanding of data warehousing concepts, data mapping, and validation techniques.

·        Proficient in writing complex SQL queries for data validation.

·        Experience working with large datasets in a cloud or hybrid environment.

·        Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).

·        Strong communication and documentation skills.

Nice to Have:

·        Experience with cloud data platforms like AWS, Azure, or GCP.

·        Prior experience in the healthcare or life sciences domain.

·        Knowledge of FHIR standards or healthcare interoperability.

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

• Sound knowledge in Agile Methodology ( Lean,Agile,Scrum,SAFe) Proven servant leadership
• Conflict resolution capability
• Building high performance Teams
• Identify impediments and eliminate in a timely fashion.
• Experienced working with Mobile App/Web/ Backend development teams.
• Deliver projects in challenging circumstances

Job Description: Data Scientist

At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.

We are a Remote-First Company.

Read more about us here: https://www.propellor.ai/consulting" target="_blank">https://www.propellor.ai/consulting

What will help you be successful in this role

• Articulate
• High Energy
• Passion to learn
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Ability to narrate the story to the business stakeholders
• Generate insights and the ability to turn them into actions and decisions

Skills to work in a challenging, complex project environment

• Need you to be naturally curious and have a passion for understanding consumer behavior
• A high level of motivation, passion, and high sense of ownership
• Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
• Flexibility to work on multiple projects and deadline-driven fast-paced environment
• Ability to work in ambiguity and manage the chaos

Key Responsibilities

• Analyze data to unlock insights: Ability to identify relevant insights and actions from data.  Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.   
• Bring in experience for AI and ML:  Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
• Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights. 
• DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs.  Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.

Technical Skills

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.

• Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
• Strong experience with popular database programming languages including SQL.
• Strong experience in Spark/Pyspark
• Experience in working in Databricks

What are the company benefits you get, when you join us as?

• Permanent Work from Home Opportunity
• Opportunity to work with Business Decision Makers and an internationally based team
• The work environment that offers limitless learning
• A culture void of any bureaucracy, hierarchy
• A culture of being open, direct, and with mutual respect
• A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
• The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives

To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE

Whom will you work with?

You will closely work with other Senior Data Scientists and Data Engineers.

Immediate to 15-day Joiners will be preferred.

We are looking for a Full Stack Laravel Developer who is dedicated to the craft, writes code that they are proud of and can hit the ground running.

You will be a part of a full-stack creative team that is responsible for all aspects of the ongoing software development from the initial specification, through to developing, testing and launching.

Responsibilities

• Write “clean”, well-designed code
• Produce detailed specifications
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle
• Follow industry best practices
• Develop and deploy new features to facilitate related procedures and tools if necessary

Requirements

• Proven software development experience in Laravel Framework
• Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX etc
• Good knowledge of relational databases, version control tools and of developing web services
• Passion for best design and coding practices and a desire to develop new bold ideas
• BS/MS degree in Computer Science, Engineering or a related subject