Protein / Amino Acid / Therapeutic Scientist (Onsite)

Ambler, PA, US • Posted 21 hours ago • Updated 2 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Molecular Biology
  • Biochemistry
  • Biotechnology
  • Bioinformatics
  • Life Sciences
  • Scientific Data Management
  • Scientific Database Management
  • Data Entry
  • Data Management
  • Data Integrity
  • Data Quality
  • Large Dataset Management
  • Laboratory Information Management Systems (LIMS)
  • Electronic Laboratory Systems
  • Scientific Informatics
  • Database Registration
  • Biologic Molecule Registration
  • Molecule Registration
  • Biologics Discovery
  • Biologics Research
  • Biologic Therapeutics
  • Therapeutic Antibodies
  • Antibody Engineering
  • Protein Engineering
  • Protein Sequence Analysis
  • Amino Acid Sequences
  • Sequence-Based Biologic Design
  • Mutation Analysis
  • In Silico Protein Analysis
  • Antibody Structure
  • Antibody Function
  • Antibody Formats
  • Molecular Biology Concepts
  • Construct Design
  • Construct Registration
  • Metadata Management
  • Scientific Data Curation
  • Data Migration
  • Data Validation
  • Quality Control
  • Standard Operating Procedures (SOPs)
  • Process Documentation
  • Registration Workflows
  • Benchling
  • Genedata
  • Spotfire
  • Microsoft Excel
  • Microsoft Office
  • Data Reporting
  • Data Accuracy
  • Research and Development (R&D)
  • Cross-Functional Collaboration
  • Scientific Documentation
  • Data Quality Metrics
  • Attention to Detail

Summary

Please note this position is 12 Month Contract and is Onsite in Spring House, PA.

Please note client requests for candidates that have more experience with protein engineering or in silico bulk processing of amino acid sequences and mutations would be ideal.

JOB DESCRIPTION:

TOP SKILLS:

·         Bachelor's degree in Molecular Biology, Biochemistry, Biotechnology, Bioinformatics, Life Sciences, or a related scientific discipline.

·         Minimum of 1-3 years’ experience in scientific data management, laboratory operations, biologics research, or a related field.

·         Adapt to a new registration system

·         Must be familiar with entering data into databases

·         Will help develop SOPs

·         Experience in Therapeutic (antibodies and large molecule)

·         New system is LIMS (part of chemistry)

Required Qualifications
•    Experience working with scientific databases, electronic laboratory systems, data management platforms, or informatics tools.
•    Strong proficiency with Microsoft Office applications, particularly Excel.
•    Demonstrated ability to manage large datasets with a high degree of accuracy and attention to detail.
•    Strong written and verbal communication skills.

Preferred:
•    Understanding of antibody structure, function, and biologic therapeutic modalities.
•    Basic knowledge of protein engineering, antibody formats, or sequence-based biologic design.
•    Familiarity with biologics discovery workflows and molecule registration processes.
•    Experience with Benchling, Genedata, Spotfire, or related scientific informatics platforms.
•    Experience supporting cross-functional research and development teams.

Essential Functions:
This position will support the Biologics Engineering and Function group within Biologics Discovery. The successful candidate will work closely with scientists and project teams to ensure timely, accurate, and compliant design and registration of biologic molecules and associated scientific data into database repositories. The candidate will also be responsible for communicating registered molecule information, construct details, and relevant metadata clearly and accurately to scientists supporting downstream production and characterization activities. This role is critical for maintaining high-quality digital records that support biologics discovery programs across multiple therapeutic areas, including oncology, immunology, neuroscience, metabolic diseases, and infectious diseases.

The position offers an opportunity to work in a highly collaborative environment while contributing to data integrity, operational excellence, and the advancement of innovative biologic therapeutics.

Key Skills and Qualities:
•    Understanding of molecular biology concepts, biologic modalities, and scientific data management principles.
•    Experience with scientific databases, data entry systems, or laboratory information management systems (LIMS).
•    Strong attention to detail and commitment to data accuracy and quality.
•    Ability to manage multiple assignments and deliver results in a timely manner.
•    Excellent organizational, written, and verbal communication skills.
•    Ability to work effectively in a collaborative team environment.

Key Responsibilities:
•    Register biologic molecules, constructs, and associated metadata within database repository platforms in accordance with established business processes and data standards.
•    Review submission packages for completeness, accuracy, and consistency prior to registration.
•    Partner with scientists to resolve registration questions, data discrepancies, and missing information.
•    Maintain accurate records of molecule registrations and updates.
•    Support quality control efforts to ensure data integrity across biologics discovery programs.
•    Assist with the migration, curation, and organization of scientific data within database repositories and related systems.
•    Contribute to the development and continuous improvement of registration workflows, documentation, and best practices.
•    Generate reports and provide status updates on registration activities and data quality metrics.
•    Collaborate with project teams, informatics partners, and platform stakeholders to support operational objectives.
•    Participate in team meetings and communicate progress, challenges, and recommendations effectively.

 Candidates must provide their phone number. Job reference number is A5657.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: NETSO
  • Position Id: A5657
  • Posted 21 hours ago
Contact the job poster
Manita Tamang

Manita Tamang

Coordinator @ NetSource, Inc.

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