India-Based Data Entry Outsourcing Support Serving USA, Canada, UK, Australia, Europe, New Zealand, Singapore, UAE
Controlled pharmaceutical product, laboratory and regulatory records
Pharmaceutical and Life Sciences

Helping Life Sciences Teams Structure Product, Laboratory and Regulatory Data

Pharmaceutical operations depend on traceable product, batch, sample, device and submission records. SDES provides pharmaceutical data entry services for life sciences organisations that need approved information prepared for operational systems, controlled registers or regulatory review.

Clients can outsource life sciences data entry for a defined backlog or continuing workflow. Our professional team follows supplied terminology, identifiers and version rules; scientific interpretation, medical judgement, quality release and regulatory approval remain with the client’s authorised experts.

Source-linked captureEvery value remains connected to the supplied record.
Visible exceptionsUncertain records are separated instead of guessed.
Client-controlled rulesYour team retains every professional decision.
Identifier and Version Control

Every value must remain attached to the correct product, batch, device or submission

Project setup confirms authorised sources, product and substance identifiers, controlled vocabulary, effective dates, document versions and required review states. The life sciences data processing solution records objective information without resolving scientific or regulatory ambiguity.

Where a source is illegible, inconsistent or incomplete, the affected record is held with its source reference for expert review. An offshore production team never invents an ingredient, result, dosage, classification or approval status.

Controlled Scientific Records

Similar product names do not prove that two regulated records are the same

Professional data preparation can reduce administrative workload, but it cannot replace pharmacovigilance, laboratory, quality-assurance or regulatory decisions.

Exception files preserve the record identifier, field, source and reason for review so authorised specialists can resolve the issue.

Life Sciences Workstreams

Administrative data support across product and evidence lifecycles

Product master entry

Approved names, codes, strengths, forms, pack details and markets are entered under supplied rules.

Batch register updates

Lot, manufacturing, expiry, material and supplied status fields are linked to the correct batch.

Laboratory log capture

Sample IDs, dates, methods and authorised reported values are transcribed without scientific interpretation.

Submission metadata

Application, sequence, document, country, version and lifecycle fields are prepared for specialist review.

Structured product records

Approved label and product fields are mapped to the client’s specified structured format.

Medical-device data

UDI, model, packaging, manufacturer and supplied classification fields are organised.

Safety-file indexing

Case and supporting documents are indexed by authorised identifiers without assessing causality.

Registration maintenance

Site, licence, contact, product and effective-date records are maintained from approved evidence.

Controlled Record Workflow

Data preparation separated from scientific and regulatory authority

Scope

Confirm permitted fields

Identifiers, sources, vocabulary and access are documented.

Pilot

Test difficult records

Versions, partial sources and conflicting identifiers are sampled.

Process

Work by controlled batch

Records retain product, lot, sample or submission context.

Escalate

Return expert decisions

Scientific, medical, quality and regulatory questions stay with the client.

Free accuracy test

Test Your Pharmaceutical and Life Sciences Data Entry Services Rules with a Free Pilot Batch

Send a representative sample with your real source files and field rules. We will return a review-ready output so you can assess the workflow before making a financial commitment.

✓ No credit card required✓ No contract required✓ 24–48 hour return
Get Your Free Pilot Batch
Source sampleyour_sample_data.csv
Received
Verified deliveryverified_output.xlsx
Reviewed
▣ Encrypted transfer◉ Quality controlled
Life Sciences Controls

Identity, source and version are checked together

Record identity

Product, batch, sample and device identifiers are checked before entry.

Source fidelity

Operators transcribe authorised evidence and do not infer missing scientific values.

Restricted access

Sensitive project files are limited to the approved workflow and assigned team.

Where SDES Fits

Administrative capacity around specialist life sciences teams

Legacy migration

Prepare approved product and registration data for a new platform.

Submission preparation

Organise document metadata before regulatory specialist review.

Master-data maintenance

Apply authorised product, device and establishment updates.

Life Sciences Deliverables

Review-ready records with source-linked exceptions

Product mastersBatch registersSample logsSubmission indexesStructured product filesDevice datasetsSafety-file indexesException logs
Why SDES for Life Sciences

Disciplined entry without crossing professional boundaries

Our offshore pharmaceutical data entry team works from approved evidence, taxonomies and field rules. Source conflicts stay visible rather than being silently normalised.

Client experts retain scientific, medical, quality and regulatory authority throughout the engagement.

Life Sciences Project Experience

Pharmaceutical and life sciences case studies

Project Name: Product Master Consolidation

Problem: Regional files used inconsistent product codes and effective dates. For the Product Master Consolidation in Australia workload, channel teams had to compare supplier sources manually, slowing publication and increasing the risk of inconsistent product records.

Solution: Approved fields were reconciled by product, pack, market and source version. For Product Master Consolidation in Australia, sKU and channel relationships were checked before delivery, while unsupported attributes and probable matches entered a separate review queue.

Outcome: A migration-ready master and unresolved-identity log were delivered. After completing Product Master Consolidation in Australia, product, variant and asset relationships remained consistent across releases, reducing repeated correction work for merchandising teams.

Title: Master Data Manager
Industry: Pharmaceutical Manufacturing
Country: Australia

Project Name: Regulatory Archive Indexing

Problem: Legacy folders lacked reliable sequence and lifecycle metadata. Within Regulatory Archive Indexing in United Kingdom, the missing structure made audit, migration and day-to-day retrieval slower than the client’s operational timetable allowed.

Solution: Documents were indexed from authorised application and submission references. For Regulatory Archive Indexing in United Kingdom, each index row retained its source filename or document reference, and unclear classifications were separated for records-owner review.

Outcome: A searchable archive and specialist-review queue were prepared. Following delivery for Regulatory Archive Indexing in United Kingdom, users could search the completed register by approved metadata while unresolved files remained visible for targeted review.

Title: Regulatory Operations Lead
Industry: Biopharmaceuticals
Country: United Kingdom

Project Name: Device Record Preparation

Problem: UDI source sheets contained incomplete model and packaging relationships. For the Device Record Preparation in United States workload, administrative reviewers needed dependable patient, provider and document references before the records could enter the next workflow stage.

Solution: Supplied identifiers and attributes were structured without deciding classification. For Device Record Preparation in United States, approved administrative fields were captured under restricted access, while clinical interpretation and unsupported record matching remained with authorised personnel.

Outcome: Review-ready device records and an evidence-gap file were delivered. After completing Device Record Preparation in United States, the archive became easier to migrate, audit and retrieve without losing the link to the original source files.

Title: Regulatory Data Director
Industry: Medical Devices
Country: United States

Client Feedback

Feedback related to life sciences data projects

Product master feedback

4.5/5

“Study documents were indexed against the correct protocol, site and subject references without interpreting scientific content. Our clinical operations team could review exceptions in context immediately. Great job; the output was clean, professional and ready to use.”

Amelia T.
Master Data Manager
Australia

Archive feedback

4.0/5

“The product and batch register preserved every supplied identifier and revision. Quality reviewers received a concise discrepancy file instead of discovering conflicts during system upload. The agreed turnaround was maintained and saved our team useful time.”

Thomas B.
Regulatory Operations Lead
United Kingdom

Device data feedback

4.5/5

“Safety case documents became searchable without changing reported terms or classifications. The careful separation between data capture and medical judgement was exactly what we needed. The service has been well worth outsourcing to SDES and offers strong value for the cost.”

Sophia N.
Regulatory Data Director
United States

Life Sciences FAQs

Questions about regulated data processing

Does SDES make scientific or medical decisions?

No. We enter approved information and return uncertainties to authorised specialists.

Can product masters be migrated?

Yes, under confirmed identifiers, terminology, versions and mapping rules.

Can laboratory records be entered?

Authorised values can be transcribed without interpreting results.

Can device records be prepared?

Yes, from supplied identifiers, packaging relationships and approved attributes.

How are uncertain values handled?

They are held with their source and reason for expert review.

What should a pilot contain?

Include representative records, controlled vocabulary, versions and expected output.