*Candidate identified for the position

Company

Prolacta is the pioneer in human milk-based nutritional
products for premature infants in the neonatal intensive care unit (NICU).
Prolacta believes that there is no adequate replacement for human breast milk
and, as such, we believe infant nutritional products should be human
milk-based. As a privately held, scientifically driven company, committed to
improving premature infant nutrition, we are using human milk to change the
standard of care in the NICU. Prolacta operates and/or owns milk banks that
provide the starting material for the products Prolacta sells.

Job Summary

The incumbent is
responsible for assisting in the conduct of special analytical projects that Prolacta
will undertake for understanding milk donor activity and other similar minded
research activities that will involve the compilation, description and analysis
collection of the relevant research subject data. Work with personnel from Milk
Banking, R&D and other requisite departments to process and collect
accurate data in a timely manner and assist Prolacta personnel with data
collection, data storage, and data output.

·
Obtain any needed
support documentation for data, and data analysis.

·
Prepare reports
and memorandums.

·
Prepare data files
for statistical analysis.

·
Complete
formatting, reproduction and distribution of materials.

·
Ability to
accurately read entries in data forms and record accurately and timely information
into study data records and other appropriate research data forms.

·
Demonstrate
organizational skills to efficiently and effectively provide data management
support for multiple clinical trials and projects, providing accurate
information in a timely manner.

·
Have understanding
of confidential information, how it is defined, and demonstrated skill in
maintaining confidential status of such information.

·
Ability to
prioritize workload to meet demands of study deadlines.

·
Ability to
understand that work may be delegated by more than one person, depending on the
individual needs of the research study and to carry out job responsibilities as
assigned in a timely manner.

·
Computer skills
using PC platform computers with proficiency in Excel, Word, statistical
programs, to enter data and generate correspondence accurately.

·
Prepare project
progress reports.

Primary Duties and Responsibilities

Assist with research data collection
and assist with the set-up of the relevant data bases

Provide basic descriptive
and inferential analyses as instructed by relevant Prolacta personnel

Proficiency with Microsoft
Office Products

Proficiency with
statistical programs, e.g. SAS or Stata

This position has no
supervisory responsibilities of individuals.

Job Requirements and Qualifications

Bachelor’s degree in a Biological
Life Science with some graduate level training in statistical methods (e.g.
working towards graduate degree such as MS in biostatistics). Previous admin
experience a plus.

Qualifications

•
Attention
to detail

•
Organizational Skills

•
Thoroughness

•
Communication
Proficiency

•
Technical
Capacity

•
Teamwork
Orientation

•
Personal
Effectiveness/Credibility

Other Knowledge, Skills and Abilities

•
Previous
experience with research data management

·
Organizational
skills with data

·
Admin

Work Environment (Location, travel, shift, on-call, etc.)

Travel

None

Location

Duarte, CA

Direct Reports

Disclaimer

The
above statements are intended to describe the general nature and level of work
being performed by people assigned to this classification. They are not to be
construed as an exhaustive list of all responsibilities, duties, and skills
required of personnel so classified. All personnel may be required to perform
duties outside of their normal responsibilities from time to time, as needed.

“Prolacta
Bioscience, Inc. is an Equal Employment Opportunity Employer.” Prolacta Bioscience,
Inc. is committed to a proactive program of affirmative action and diversity
development. The Company will continue to recruit, hire, train, and promote
into all job levels without regard to race, religion, gender, marital status,
familial status, national origin, age, mental or physical disability, sexual
orientation, gender identity, source of income, or veteran status.