Job Requirements
Redwood City, CA
Secret Polygraph Unspecified
Entry Level (less than 2 yrs experience)
Salary not specified
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Job Description
POSITION SUMMARY
We are seeking a motivated and detail-oriented entry-level scientist to support curation and standardization of experimental assay data stored within an internal LIMS database. A successful candidate will review existing records, apply a consistent and pre-defined naming scheme, and work directly with scientists to resolve ambiguous or undocumented experimental information.
This is a highly collaborative, data-intensive role that requires a strong background in both laboratory science and data cleaning practices. An ideal candidate has hands-on or coursework exposure to biochemistry or molecular biology, is comfortable working with spreadsheets and databases, is detail-oriented, and communicates clearly and proactively.
RESPONSIBILITIES
- Audit existing experimental records and identify inconsistencies, ambiguities, and duplications.
- Flag records where information is missing, inconsistent, or requires scientific interpretation.
- Apply pre-defined standards to an existing experimental database.
- Translate informal lab terminology into standardized database entries.
- Connect with scientists to clarify ambiguous pre-existing experimental information stored in the database.
- Maintain a change log of all modifications made to existing records.
- Assist in drafting a central style guide for data schema and data entry.
- Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema.
QUALIFICATIONS
- a Bachelor's or Master’s degree in Biochemistry, Molecular Biology, Chemical Biology, Bioengineering, Protein Engineering, or a closely related field
- Strong written and oral communication skills
- Strong record-keeping and organizational skills
- Familiarity with common molecular biology principles and laboratory techniques (e.g., mutagenesis, cloning, and transformation)
- Familiarity with common protein biochemistry principles and laboratory techniques (e.g., protein expression, purification, and characterization)
Preferred Qualifications:
- Familiarity with relational databases, Excel, or basic data querying (SQL or similar)
- Exposure to electronic lab notebooks (ELNs) or LIMS platforms
- Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel-based assays
- Basic knowledge of protein structure-function relationships and mutation nomenclature
- An understanding of directed evolution workflows
- Basic experience generating or editing Python/R Scripts
WORK ENVIRONMENT
This is primarily a desk-based role. The candidate will work closely with both the
bioinformatics team and the laboratory team and is expected to be comfortable moving
between scientific and data-oriented conversations. Occasional visits to the lab to
observe assay setups or review physical lab notebooks may be required.
Security Clearance Required: N/A
Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone's global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.
EOE of Minorities/Females/Veterans/Disabilities
We are seeking a motivated and detail-oriented entry-level scientist to support curation and standardization of experimental assay data stored within an internal LIMS database. A successful candidate will review existing records, apply a consistent and pre-defined naming scheme, and work directly with scientists to resolve ambiguous or undocumented experimental information.
This is a highly collaborative, data-intensive role that requires a strong background in both laboratory science and data cleaning practices. An ideal candidate has hands-on or coursework exposure to biochemistry or molecular biology, is comfortable working with spreadsheets and databases, is detail-oriented, and communicates clearly and proactively.
RESPONSIBILITIES
- Audit existing experimental records and identify inconsistencies, ambiguities, and duplications.
- Flag records where information is missing, inconsistent, or requires scientific interpretation.
- Apply pre-defined standards to an existing experimental database.
- Translate informal lab terminology into standardized database entries.
- Connect with scientists to clarify ambiguous pre-existing experimental information stored in the database.
- Maintain a change log of all modifications made to existing records.
- Assist in drafting a central style guide for data schema and data entry.
- Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema.
QUALIFICATIONS
- a Bachelor's or Master’s degree in Biochemistry, Molecular Biology, Chemical Biology, Bioengineering, Protein Engineering, or a closely related field
- Strong written and oral communication skills
- Strong record-keeping and organizational skills
- Familiarity with common molecular biology principles and laboratory techniques (e.g., mutagenesis, cloning, and transformation)
- Familiarity with common protein biochemistry principles and laboratory techniques (e.g., protein expression, purification, and characterization)
Preferred Qualifications:
- Familiarity with relational databases, Excel, or basic data querying (SQL or similar)
- Exposure to electronic lab notebooks (ELNs) or LIMS platforms
- Exposure to analytical instrumentation such as HPLC, LC-MS, fluorescence plate readers, or gel-based assays
- Basic knowledge of protein structure-function relationships and mutation nomenclature
- An understanding of directed evolution workflows
- Basic experience generating or editing Python/R Scripts
WORK ENVIRONMENT
This is primarily a desk-based role. The candidate will work closely with both the
bioinformatics team and the laboratory team and is expected to be comfortable moving
between scientific and data-oriented conversations. Occasional visits to the lab to
observe assay setups or review physical lab notebooks may be required.
Security Clearance Required: N/A
Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone's global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.
EOE of Minorities/Females/Veterans/Disabilities
group id: bstone
