Qureos Mentor

PI Industries Ltd

<div>
 
 
 Qualification
 
 :
 
 
 
 
 
 M.Tech./Ph.D. in Environmental Engineering from a reputed University with excellent academic credentials, and peer-reviewed papers/ patents
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 RS: 2&ndash;4 yrs.
 </li>
 <li>
 SRS: 4&ndash;6 yrs.
 </li>
 <li>
 Deep understanding of biological wastewater treatment processes, including aerobic, anaerobic, and hybrid systems.
 </li>
 <li>
 Understanding of microbial consortium, biofilm formation, and nutrient removal.
 </li>
 <li>
 Experience in developing and optimizing microbial consortia for pollutant degradation.
 </li>
 <li>
 Familiarity with metagenomics, bioinformatics, and microbial ecology to enhance treatment efficiency.
 </li>
 <li>
 Skilled in water quality analysis (COD, BOD, nutrient levels, heavy metals).
 </li>
 <li>
 Proficient in data interpretation and process troubleshooting
 </li>
 </ul>
 
 
 
 
 Functional Competencies:
 
 Scientific knowledge, Experimental skills, Documentation, Data reporting, analysis and interpretation
 
 
 
 
 
 
 Behavioural Competencies:
 
 Drive for result, Clear communication, Safety/process adherence, Ability to work independently and in a team-oriented environment.
 
</div>

Research Scientist – Environmental Engineering

<div>
 
 
 Qualification
 
 :
 
 
 M.Sc./ M.Tech. / Ph.D. (Ph.D. is preferred for SRS) in Biochemistry, Biotechnology, Chemical/Bioprocess Engineering with excellent academic credentials, and peer-reviewed papers/ patents
 
 
 
 Experience:
 
 
 <ul>
 <li>
 RS: 3&ndash;5 yrs. (M.Sc.) or fresh Ph.D.
 </li>
 <li>
 SRS: 5&ndash;8 yrs. (M.Sc.) or 2&ndash;4 yrs. (Ph.D.)
 </li>
 <li>
 Biocatalysis: Enzyme selection/screening, cofactor recycling, immobilization basics, solvent/aqueous systems, pH/DO/mass transfer control, scale‑up, green metrics
 </li>
 <li>
 Purification/ Downstream (from industry): Clarification, precipitation, AKTA/FPLC, chromatography (Affinity/IEX/HIC/SEC), UF/DF/TFF, solvent exchange, crystallization/lyophilization.
 </li>
 <li>
 Analytics/Tools: HPLC/UPLC, GC, LC‑MS, SDS‑PAGE, chiral analytics, DoE (JMP/Minitab), ELN/LIMS, strong Excel/data handling.
 </li>
 </ul>
 
 
 Functional Competencies:
 
 Scientific knowledge, Experimental skills, Documentation, Data reporting, analysis and interpretation
 
 
 
 Behavioural Competencies:
 
 Drive for result, Clear communication, Safety/process adherence, Ability to work independently and in a team-oriented environment.
 
</div>

Research Scientist– Biocatalysis, Protein purification & Downstream

<div>
 
 
 Strategic
 
 
 <ul>
 <li>
 Actively support the philosophy, values and key strategic initiatives of organization and the department.
 </li>
 <li>
 Efficient contribution to the overall success of RDIT by driving innovation and team performance according to objectives and targets.
 </li>
 <li>
 Innovate solutions using Artificial Intelligence and machine learning.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
 </li>
 <li>
 Fulfilling requirements as set by Group Leader and Team Leader, e. g. within specific Research Projects
 </li>
 </ul>
 
 
 
 
 
 Operational
 
 
 <ul>
 <li>
 Execute and manage advanced analytics and data science projects, focusing on data visualization and machine learning model development and deployment.
 </li>
 <li>
 Implement and manage ETL processes to ensure efficient extraction, transformation, and loading of data from various sources, such as internal databases and third party platforms.
 </li>
 <li>
 Ensure data quality and accuracy in all analytical processes.
 </li>
 <li>
 Use programming and scripting skills to automate the process, and enhance the effectiveness and productivity. Eg. R, Perl, Bash, Python, JAVA, mySQL
 </li>
 <li>
 Use statistical techniques and machine learning models to analyze large datasets with software such as Python (scikit-learn, TensorFlow) and R.
 </li>
 <li>
 Create and maintain Power BI dashboards to visualize data and communicate findings to stakeholders.
 </li>
 <li>
 Set up and maintain CI/CD pipelines for data science projects.
 </li>
 <li>
 Work closely with cross-functional teams to understand and address business requirements.
 </li>
 <li>
 Communicate complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Develop and implement algorithms for predictive modelling of agrochemical based active ingredients.
 </li>
 <li>
 Participate in the assessment and introduction of new data technology supporting digitalization and automation efforts for application to a broader practice within the organization.
 </li>
 <li>
 Carry out advanced statistical analysis in combination with machine learning and artificial intelligence and build group capability.
 </li>
 <li>
 Updating self with respect to new tools for digitization and data analytics using the online and print literature, attending national and international conferences.
 </li>
 </ul>
 
 
 
 
 
 Educational Qualification
 
 
 <ul>
 <li>
 PhD or Masters in data science / statistics / computational sciences / informatics or related discipline from a reputed University / Institute from India or overseas with excellent academic credentials
 </li>
 <li>
 Should have an experience in creating interactive dashboard/data app, AI/ML model building, cloud platforms, big data analytics platform.
 </li>
 <li>
 High quality research publications and/or patents appreciated.
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Experience of &gt; 3 years from relavent industries and/or high-ranking academic institutes in handling scientific data in order to support, improve and direct design in the area of drug discovery, exploration and optimization in life sciences.
 </li>
 <li>
 Must be able to communicate with key stakeholders on a high level of understanding of contents.
 </li>
 <li>
 Experience in predictive modelling, statistics, machine learning to collect, explore and extract insight from structured and unstructured data.
 </li>
 <li>
 Proficiency in Power BI and creating interactive dashboards.
 </li>
 <li>
 Proficiency in scripting and programming languages like R, Perl, Bash, Python, JAVA, mySQL to build efficient AI/ML applications
 </li>
 <li>
 Well versed with working on Cloud (AWS), HPC servers on LINUX/UNIX environemnt.
 </li>
 <li>
 Experience with big data technologies e.g., Hadoop, Spark.
 </li>
 <li>
 Experience with CI/CD tools and practices
 </li>
 <li>
 Ability to communicate technical results to non-statisticians.
 </li>
 <li>
 Experience in agro-chemical space would be an additional advantage.
 </li>
 </ul>
 
 
 
 
 Interested candidates are requested to share their resumes directly on shubhi.chandnani@piind.com
 
 
 
</div>

Research Scientist - Data Science

Join PI Industries Ltd and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

PI Industries Ltd

ABOUT_COMPANY

Research Scientist – Environmental Engineering

Research Scientist– Biocatalysis, Protein purification & Downstream

Research Scientist - Data Science